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Veröffentlicht: 17. Mai 2024
Informatikerin/ Informatiker für IT-Betreuung und Datenmanagement (d/w/m) im Giftnotruf der Charité
Arbeiten an der Charité
Die Charité wurde erneut zum besten Krankenhaus Deutschlands gewählt, weil unsere Mitarbeitenden jeden Tag einen hervorragenden Job machen – sowohl in der Krankenversorgung als auch in der Forschung, Lehre und Verwaltung. Patientinnen und Patienten aus aller Welt vertrauen auf die Expertise unseres Kollegiums sowie auf modernste Diagnostik und Behandlungsmethoden.
Weil Sie den Unterschied machen
Der Giftnotruf der Charité ist eine Notfalleinrichtung, die 24 Stunden an 7 Tagen der Woche erreichbar ist. Die Hauptaufgabe des Giftnotruf ist es, Laien, Rettungsdienste und Krankenhäuser mit toxikologischem Fachwissen zu beraten, um Vergiftungen fachlich einzuschätzen und effizient zu behandeln. Die Beratung erfolgt telefongestützt anhand eigener Datenbanken. Fallbezogene Daten werden in einer eigenen Beratungssoftware erfasst. Um das technische Rückgrat unserer Abteilung zu betreuen und unser Datenmanagement weiterzuentwickeln, suchen wir einen engagierten teamfähigen Mitarbeitenden (d/w/m). Homeoffice ist nach Absprache möglich. Die Stelle ist zunächst befristet, eine Verlängerung wird angestrebt.
Die Stelle im Überblick
- Systemadministration und Betreuung der IT-Infrastruktur des Giftnotrufs
- Koordination mit der Charité-IT-Infrastruktur
- Betreuung der Beratungssoftware, Kommunikation mit den Entwicklern und dem Beratungspersonal als Anwender:innen
- Optimierung der Datenpflege und Datenerhebung
- Entwicklung und Betreuung von Datenabfragen: Beauftragen von Queries in SAP BW, SAP-Backend und ETL-Tools
- IT- und Softwarelösungen für die Datenanalyse und ‑auswertung für Qualitätsmanagement, Prävention und Forschung
- Mitarbeit an Forschungsprojekten
Danach suchen wir
- Ausbildung Fachinformatik / Bachelor Informatik (B.Sc.) / Bachelor Bioinformatik (B.Sc.) / Medizininformatik (B.Sc.) oder vergleichbare, nachgewiesene Kenntnisse
- Sehr gute kommunikative Fähigkeiten
- Interesse an medizinischen Daten und der Datenverwaltung
- Sehr gute Kenntnisse in Microsoft Windows, Teams, Outlook
- Wünschenswerte Kenntnisse und Erfahrung mit:
— VPN
— SAP (Hana, BW, Fiori) - Interne IT-Strukturen im Großkonzern (Interne Datenlaufwerke, IT-Helpdesk, Antragstellung für IT)
- Server-Infrastruktur (Linux-Server, Windows-Server)
- Erfahrungen mit IT-Helpdesks (Telefon, Email, Ticket erstellen)
- Kommunikation mit externer Software-Entwicklungsfirma als Dienstleister
Das bringt die Charité mit
- Eine hoch professionelle Zusammenarbeit in einem motivierten und interdisziplinären Team
- Eine zukunftsorientierte, abwechslungsreiche und anspruchsvolle Tätigkeit mit hoher Eigenverantwortung und persönlichem Handlungsspielraum
- Interkulturelle Teamveranstaltungen, gut strukturiertes Onboarding mit netten Kolleginnen und Kollegen
- Umfangreiche kostenfreie Fort- und Weiterbildungsmöglichkeiten bis hin zum Studium
- Vergünstigungen bei vielen Angeboten für Beschäftigte für die Bereiche Shopping, Reisen, Sport
- Durch unsere betriebliche Altersvorsorge sind unsere Mitarbeitenden im Alter zusätzlich abgesichert
- Die Charité ist seit 2007 zertifiziert als familiengerechte Hochschule und familiengerechtes Unternehmen — Hier finden Sie weitere Informationen
- Berücksichtigung von Dienstplanwünschen
Informationen zur Stelle
- Entgeltgruppe E10 TVöD VKA‑K. Die Eingruppierung erfolgt unter Berücksichtigung der Qualifikation, die jeweilige Erfahrungsstufe errechnet sich aus den geleisteten Berufsjahren. Das Jahresgehalt (brutto) ist für eine Vollzeitstelle ohne Jahressonderzahlung, Zulagen und Zusatzdiensten angegeben. Den Tarifvertrag finden Sie hier
- Die Arbeitszeit ist in Teilzeit mit 19,50 — 29,25 Stunden vorgesehen. Geben Sie bitte an, wie viele Stunden Sie pro Woche arbeiten möchten
- Bei uns sind 30 Tage Urlaub Standard
- Die Bewerbungsfrist endet am: 24.05.2024
- Kennziffer: ID 3093
Bewerbung
- Direkt über das Karriereportal der Charité
Veröffentlicht: 17. Mai 2024
PhD student computational biology / bioinformatics (m/f/d)
Universitätsklinikum Schleswig-Holstein, Campus Lübeck
PhD student computational biology / bioinformatics (m/f/d) (fulltime)
The position will be hosted at the Institute of Human Genetics, in the workgroup “Regulatory Genomics” of Prof. Martin Kircher. The bioinformatics group performs research in the fields of sequence analysis, data mining, machine learning and functional genomics (https://kircherlab.github.io/). Our research focuses on computational approaches of identifying functionally relevant genetic changes in disease and adaptation as well as developing more sensitive methods in diagnostics (especially exome, genome and cell-free DNA sequencing). For example, we devise computational approaches (e.g. CADD, CADD-SV, ReMM) to score and identify functional genetic changes in the human genome through Massively Parallel Reporter Assays and genome pertubation. Understanding how gene regulation is encoded in our genomes across development and the diversity of cell-types is one of our fundamental research questions.
Start in our team
The position is immediately available. The full-time contract will be issued for 3 years with the prospect of extension to finish the thesis work and preparation of related publications.
We offer:
- A collaborative research environment that encourages and supports scientific curiosity, innovation, and development of its team members
- Training in computational biology and independent research, as well as receiving guidance on PhD requirements and thesis work
- Career development and collaboration with internal and external partners
- Participation in international meetings and scientific conferences
- Salary based full-time payment on the German E13 TV‑L scale, if terms and conditions under collective bargaining law are fulfilled. This for example also includes 30 paid vacation days per year.
- Flexible working hours and a family-friendly environment
Your responsibilities:
- Work on cutting-edge projects using state-of-the-art technology and gain insights into the sequence encoding of molecular function and its relation to disease as well as epigenetic and 3D genome annotations
- Develop deep neural nets or classical machine learning models that integrate sequence features and molecular measures
- Develop or improve methods to infer disease and regulatory mechanisms and develop data standards as well as prepare data for analysis or computational modeling
- Analyze high-throughput sequencing data and develop custom computational tools,
- Apply and improve methods for model interpretation, and actively contribute to the lab, institute and international collaborations
Requirements:
- Master degree or equivalent in bioinformatics, computational biology or similar, alternatively in computer sciences with experience in molecular biology and large-scale data analysis
- Basic knowledge of molecular biology, gene regulation and epigenetics as well as deep understanding of sequence analysis, statistical concepts and machine learning
- Highly skilled in a programming language such as Python, R, C++, or Java and intermediate skills in a statistical modeling or analysis environment like R or Python scipy/scikit learn
- Prior experience with Unix and bash scripting, previous exposure to HPC environments is an advantage
- Exposure to reproducible work and FAIR principles
- Highly motivated to expand knowledge and develop innovative approaches as well as diligent, goal-oriented and independent work attitude
- Team-oriented with interdisciplinary communication skills and very good English language skills
We are looking forward to your application under the following Link: PhD student computational biology / bioinformatics (m/f/d) (uksh.de). Please submit your application until 05.06.2024, indicating your earliest possible starting date as well as the reference number 24264.
If you have any questions, do not hesitate to contact Prof. Martin Kircher: martin.kircher@uksh.de
We live diversity and strongly encourage qualified female scientists to apply. UKSH and the University of Lübeck aim to increase the number of women among faculty and staff. Applications from people with an immigrant background who meet the hiring requirements are encouraged. Disabled candidates who are equally qualified will receive preference.
Veröffentlicht: 8. Mai 2024
Bioinformatician as Statistical Data Scientist*
Immatics combines the discovery of true targets for cancer immunotherapies with the development of the right T cell receptors with the goal of enabling a robust and specific T cell response against these targets. This deep know-how is the foundation for our pipeline of Adoptive Cell Therapies and TCR Bispecifics as well as our partnerships with global leaders in the pharmaceutical industry. We are committed to delivering the power of T cells and to unlocking new avenues for patients in their fight against cancer.
We are currently seeking a full- or part-time
Bioinformatician as Statistical Data Scientist*
to support our R&D team to develop innovative immunotherapeutic products for next-generation cancer therapy.
You will work in Tübingen (Germany) in an interdisciplinary environment with colleagues from research and clinical departments and will contribute to our mission of developing new cancer immunotherapies to improve clinical outcomes for patients. Tübingen is a vibrant University city close to Stuttgart in the south of Germany. This is a permanent position.
YOUR MISSION
Your main responsibilities will include but are not limited to the following tasks:
- Analyze clinical data and data from various assays with statistics or statistical learning methods, document and present your findings to guide and support scientific decisions.
- Guide experimental design, understanding the mechanisms of data generation and contributing statistical expertise.
- Make suitable assumptions and develop statistical models to infer relationships between variables or test hypotheses.
- Contribute to our in-house platform for data analysis in that empowers your fellow scientists to develop innovative cancer immunotherapies in a data-driven manner.
- gainst relational databases to enable targeted analyses, develop tailored visualizations and support the publication of clinical data, working closely with your colleagues from Translational Science and other scientific departments.
YOUR PROFILE
- You hold a PhD degree in Bioinformatics, Biostatistics or a related field. Ideally, you have gained two or more years of additional work experience in industry or academia.
- You have a deep foundation in statistics and experience with biological and clinical data.
- You are proficient in at least one scripting or programming language (e.g., R, Python) and are familiar with Linux based systems.
- Knowledge of SQL databases, machine learning, peptidomics, or immunology is an advantage.
- You have excellent communication skills in English, a high degree of independent working and analytical reasoning, and you thrive in an interdisciplinary collaborative environment.
We kindly ask you to enclose with your application your transcripts of records (including all courses attended and grades earned) for all degrees (i.e., Bachelor, Master, PhD, if applicable) and to briefly mention which of your professional skills are relevant for this position from your point of view as well as why you are interested in working at Immatics.
WHY US?
We are a committed and inspired team and cherish the collegial, highly motivated, and family-friendly atmosphere within Immatics. Our culture allows for a high level of originality, independent thinking, and initiative. We believe in supporting our employees’ professional and social skills: We enable them to join conferences and trainings as well as to enjoy our Immatics benefits – e.g., job bike, job ticket, Health Programs, childcare benefits, relocation allowance, Company summer and winter events.
NOTICE
*We value diversity and inclusion. Immatics N.V. and all Immatics subsidiaries are equal opportunity employers that evaluate qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law.
Interested? Please apply via our career page: Bioinformatician as Statistical Data Scientist* | Immatics
Veröffentlicht: 8. Mai 2024
Bioinformatician as Data Warehouse Architect*
Immatics combines the discovery of true targets for cancer immunotherapies with the development of the right T cell receptors with the goal of enabling a robust and specific T cell response against these targets. This deep know-how is the foundation for our pipeline of Adoptive Cell Therapies and TCR Bispecifics as well as our partnerships with global leaders in the pharmaceutical industry. We are committed to delivering the power of T cells and to unlocking new avenues for patients in their fight against cancer.
We are currently seeking a
Bioinformatician as Data Warehouse Architect*
to support our R&D team to develop innovative product candidates for cancer immunotherapy. You will work in an interdisciplinary environment with colleagues from research and clinical departments at our site in Tuebingen (Germany) and will contribute to our mission of developing new cancer immunotherapies to improve clinical outcomes for patients. Tuebingen is a vibrant University city close to Stuttgart in the south of Germany. This is a permanent position.
YOUR MISSION
You will support Immatics’ efforts to further digitalize the management of clinical data for cancer immunotherapies. Your main responsibilities will include but are not limited to the following tasks:
- Integrate clinical data and life-science data from various sources into our clinical data warehouse as part of our immunoinformatics platform, XCUBE™, to enable real-time access and facilitate interactive analysis.
- Contribute to the automatic data processing which empowers our scientists to work efficiently and to improve cancer immunotherapies for patients.
- Design, implement, and maintain web interfaces for our clinical data warehouse.
- Collaborate with life-science users to identify data silos, to create user requirement specifications to guide database development, and to integrate them into the clinical warehouse and our platform for data analysis.
YOUR PROFILE
- You hold a PhD degree inBioinformatics, Computer Science, or a related field, or have at least three years of relevant work experience.
- You have relevant experience with database and software development in a biological or medical application context, demonstrated either through work experience or University courses. Knowledge of SQL databases, statistics or immunology is an advantage.
- You are familiar with Linux-based systems and proficient in at least one scripting language (Python, Perl, or similar).
- You have excellent communication skills in English, a high degree of independent working and analytical reasoning, and enjoy working in an interdisciplinary collaborative environment.
We kindly ask you to enclose with your application your transcripts of records (including all courses attended and grades earned) for all degrees (i.e., Bachelor, Master, PhD, if applicable) and to briefly mention which of your professional skills are relevant for this position from your point of view as well as why you are interested in working at Immatics.
WHY US?
We are a committed and inspired team and cherish the collegial, highly motivated, and family-friendly atmosphere within Immatics. Our culture allows for a high level of originality, independent thinking, and initiative. We believe in supporting our employees’ professional and social skills: We enable them to join conferences and trainings as well as to enjoy our Immatics benefits – e.g., job bike, job ticket, Health Programs, childcare benefits, relocation allowance, Company summer and winter events.
NOTICE
*We value diversity and inclusion. Immatics N.V. and all Immatics subsidiaries are equal opportunity employers that evaluate qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law.
Veröffentlicht: 6. Mai 2024
Postdoc (m,f,x) in Bioinformatics for 2 years with 39,83 hours per week, TV‑L E13
The Dept. of Molecular Immunology at the Ruhr-University Bochum invites applications from highlymotivated candidates (m/f/x) with an interest in the regulation of gene expression influencing immune responses, the development of immune cells, and host-pathogen interactions. The candidate (m/f/x) is
expected to work team-oriented in an international environment.
The Ruhr-Universität Bochum is one of Germany’s leading research universities, addressing the whole range of academic disciplines. A highly dynamic setting enables researchers and students to work across the traditional boundaries of academic subjects and faculties. To create knowledge networks within
and beyond the university is RUB’s declared aim.
The Ruhr-Universität Bochum stands for diversity and equal opportunities. For this reason, we favour a working environment composed of heterogeneous
teams, and seek to promote the careers of individuals who are underrepresented in our respective professional areas. The Ruhr-Universität Bochum expressly requests job applications from women. In areas in which they are underrepresented they will be given preference in the case of equivalent qualifications with male candidates. Applications from individuals with disabilities are most welcome.
Your tasks:
- Development and application of methods to analyze transcriptomics (e.g. RNAseq, scRNAseq), genomics (e.g. ATACseq, Cut&Run, microbiota), and proteomics (e.g. mass spectrometry) data
- Pathway, Gene Ontology and similar analyses
- Teaching and supervision of Bachelor and Master students
- Writing of publications and acquisition of third-party funding
Your profile:
- PhD in bioinformatics, biochemistry, biology, or similar
- Experience in programming in R, Python, Perl, and/or C++
- Interest in developing techniques such as machine learning and/or artificial intelligence
- Excellent skills in communication (English and German) and work organization
- Fluency in German (at least C1 level, in word and writing – required for an effective communication and for teaching in German) (nur bei Lehrverpflichtung)
Our offerings:
- challenging and varied tasks with a high degree of personal responsibility
- team-orientated cooperation in a committed, international and appreciative team
- a modern, well-equipped workplace
- fair working hours and family-friendly working
- other social benefits according to the TV‑L
Additional information:
- At the request of the applicant (m,f,x), the staff council may be involved in selection interviews. https://www.wpr.ruhr-uni-bochum.de/
- The load of teaching will be calculated according to § 3 of Lehrverpflichtungsverordnung (state of North Rhine-Westphalia).
- German language courses are offered by the University Language Center (ZfA) in the field of German as a Foreign Language (DaF) https://www.daf.ruhr-uni-bochum.de/sbgk/index.html.en
- You can find information about TVL at: https://oeffentlicher-dienst.info/
Contact details for your application:
- Prof. Dr. Ingo Schmitz, Phone: +49234 32 21111
- Travel expenses for interviews cannot be refunded.
- For information on the collection of personal data in the application process see: https://www.ruhr-unibochum.de/en/information-collection-personal-data-application-process.
- We are looking forward to receiving your application with the specification ANR: 3254 until June 3rd 2024, send by e‑mail to the following address: ingo.schmitz@rub.de
Veröffentlicht: 6. Mai 2024
ERC-funded PhD and Postdoc Positions in Comparative Genomics on Bats
ERC-funded PhD and Postdoc Positions in Comparative Genomics
(full time / part-time options available)
The Hiller Lab at the LOEWE Center for Translational Biodiversity Genomics (TBG) in Frankfurt, Germany has two openings for a PhD student and/or a Postdoc to work on the BATPROTECT project to investigate the genomic basis of long healthspans, disease resistance, and viral tolerance in bats.
BATPROTECT
is a 6‑year funded ERC synergy grant project that will use bats as natural models of healthy aging and disease tolerance to elucidate the molecular mechanisms behind bats’ exceptional longevity and resistance to viral and age-related diseases. BATPROTECT brings together a team of global leaders in bat biology and ageing (Emma Teeling, Dublin), bat immunology and virology (Linfa Wang, Singapore), evolution and genomics (Michael Hiller, Frankfurt), and ageing model organisms (Bjoern Schumacher, Cologne) that will jointly investigate aging and immune responses in bats from the wild and captive colonies, discover genes with evolutionary importance for longevity and disease resistance, and functionally validate longevity and immune regulators in stem and differentiated cells of bats and model organisms, with the ultimate goal to uncover new directions to improve human healthspan and disease outcome.
The Project
The overall goal is to uncover the genomic basis of exceptional healthspans and disease tolerance in bats, understand the evolution of these traits, and identify key molecular targets for functional validation. To this end, we will assemble ~150 new reference-quality bat genomes using HiFi and HiC sequencing to better cover the diversity of bats, generate comparative transcriptomic datasets, and analyze these data using our established methods repertoire (TOGA and others). Work includes phylogenomics, performing comparative screens to identify key adaptations in coding and non-coding (miRNA) genes as well as differences in gene expression patterns across the bat phylogeny, associating genomic changes with longevity and viral reservoir status traits, identifying novel bat genes, and investigating endogenized viral elements. The exact project will be defined based on the interests of the applicants.
The PhD student and postdoc will work closely with other members of the BATPROTECT team, the Hiller lab, and other Bat1K collaborators. We also offer exchanges with the other BATPROTECT labs as well as yearly retreats with all project members.
Your profile
- Master or PhD degree in bioinformatics/computational biology, genomics or a related area
- Solid programming skills in a Linux environment, experience with shell scripts and Unix tools
- Strong interest in comparative genomics, experience in comparative genomics is an advantage
- English in written and oral form
More information on our lab and how to apply can be found at https://sgn.one/46c
The application deadline is June 7.
Veröffentlicht: 6. Mai 2024
Head of Entomology Information Center
Job announcement ref. #09–24003
The Senckenberg Gesellschaft für Naturforschung (SGN) was founded in 1817 and is one of the most important research institutions around biological diversity. At its eleven sites throughout Germany, scientists from over 40 nations conduct cutting-edge research on an international scale. At the site in Müncheberg, Brandenburg, the Senckenberg German Entomological Institute (SDEI) is located in a research town in the Berlin area, with state-of-the-art scientific facilities.
The Senckenberg Gesellschaft für Naturforschung intends to fill at the Senckenberg German Entomological Institute (SDEI) located in Müncheberg, near Berlin, as soon as possible the position of a
Head of Entomology Information Center
(tenure track / full time / part time options available)
Senckenberg is committed to study the causes and effects of biodiversity loss in the Anthropocene. As part of our strategic development, we launched an ambitious long-term research effort in “Anthropocene Biodiversity Loss” encompassing the modules “Collectomics”, “Biodiversity Genomics”, and “Solution Labs”. Objectives include the transformation of natural history collections into the digital era, studying biodiversity from the genome to the ecosystem levels and offering exploratory spaces for science and society to develop common solutions to Anthropocene challenges.
Within this research effort, Senckenberg takes innovative steps in collection-based research and data science. The objective of “Collectomics” is to make current and future natural history collections digitally accessible and to improve integration and collaboration across regions, collections, and disciplines. This will enable broader, more holistic biodiversity research, for the benefit of people and nature.
Further aligning collection development with identified knowledge gaps will be crucial for advancing our understanding in this field. To this end, it is imperative to enhance traditional collection-based research by integrating across all Senckenberg sites cutting-edge molecular genetic technologies, digital imaging, historical DNA analysis (hDNA) methods and artificial intelligence (AI), among others.
Your tasks:
- Development of digital research platforms to unlock extensive natural science collections, libraries and archives in order to make use of their data, information and knowledge. Utilising these platforms for enhancing the integration of biological, geological and cultural diversity.
- Leading and advancing the department “Information Centre Entomology”.
- Attracting outstanding talents, and establishment of an independent world-class research team; training of staff, future generations of students, and early-career scientists.
- Acquisition of external funding (e.g. DFG, EU-programs, applied projects)
- Integration of and collaboration with core projects of Senckenberg and with partner institutes, in particular advancing the recently established research domain Anthropocene Biodiversity Loss
- Preferably editorship for “Contributions to Entomology” and for entomological issues of the “Senckenberg Monographs” (till now “Nova Supplementa Entomologica”)
- Contributing to general functions and the management of the Institute
Your qualification:
- A doctoral degree in natural science, media or biodiversity informatics, with in-depth knowledge in big data science related to biodiversity s.l.
- Experience in management and analysis of big data, and preferably in object digitisation as well as in data and text mining
- Strong publication record in relevant research domains
- Willingness to participate in inter- and transdisciplinary research; good communication skills, and experience in international cooperation
- Experience in acquisition of external funding
- Profound knowledge of entomology is desired
- Proficiency in both German and English languages is essential.
We offer:
- An attractive and challenging position in a research institution of global reputation that values diversity, openness and creativity
- A tenure-track position (according to the SGN tenure-track process)
- A salary that reflects the tasks and responsibilities of the position based on the collective agreement for public service (TV‑L) in the state of Brandenburg
- Excellent opportunities for further qualification, career development and collaboration across disciplines and institutes
- Flexible working hours – support with childcare or caring for family members (certified by the “audit berufundfamilie”) – a collectively agreed special annual payment – collectively agreed vacation entitlement – company pension plan
Location of employment: Müncheberg (Brandenburg, close to Berlin, Germany)
Working hours: Full time / part time options available
Type of contract: Employment is initially limited to three years, depending on experience and status. A long-term perspective is provided.
Salary: According to the collective agreement for public service TV‑L (E 14 or E15)
Senckenberg is committed to diversity. We benefit from the different expertise, perspectives and personalities of our staff and welcome every application from qualified candidates, irrespective of age, gender, ethnic or cultural origin, religion and ideology, sexual orientation and identity or disability. Women are particularly encouraged to apply, as they are underrepresented in the field of this position and will be given preference in the case of equal qualifications.
Applicants with disabilities (“Schwerbehinderung”) will be given preferential consideration in case of equal suitability. Senckenberg actively supports the compatibility of work and family and places great emphasis on an equal and inclusive work culture.
We welcome your application!
Please submit your complete and comprehensive application (letter of motivation with a short description of your previous and current research foci, your detailed CV, certificates of academic achievements, as well as letters of recommendation) mentioning the reference of this job announcement (Ref. #09–24003) by 24th of May 2024 by e‑mail (attachment in a single pdf document) to: recruiting@senckenberg.de.
Alternatively, you can apply directly through our online application form at our home page www.senckenberg.de/de/karriere/bewerbung/.
Senckenberg Gesellschaft für Naturforschung
Senckenberganlage 25
60325 Frankfurt a.M.
E‑Mail: recruiting@senckenberg.de
For more information on the position, please contact Prof. Dr. Thomas Schmitt via email Thomas.Schmitt@Senckenberg.de or +49 33432 73698–3700
For more information about the Senckenberg Nature Research Society visit www.senckenberg.de.
Veröffentlicht: 6. Mai 2024
Postdoc-Stelle in Bioinformatik/Systembiologie in Jena
An der Professur Bioinformatik an der Fakultät für Biowissenschaften (Prof. Stefan Schuster) ist zum 01.07.2024 oder später eine Stelle als Wissenschaftliche:r Mitarbeiter:in Bioinformatik in Teilzeit (90% / 36 Wochenstunden) befristet für 4,5 Jahre zu besetzen.
Die Forschung an der o.g. Professur zielt auf ein Verständnis der komplexen Prozesse in lebenden Zellen und deren Interaktionen mittels mathematischer Modellierung und Computersimulation.
Ihre Aufgaben:
- Bioinformatische und systembiologische Forschung
- Kooperation mit experimentell arbeitenden Gruppen
- Durchführung von Lehrveranstaltungen in Bioinformatik (Übungen, Proseminare etc.)
- Betreuung von Abschlussarbeiten im B.Sc. und M.Sc. Bioinformatik
- Literatur- und Patentrecherchen
- Arbeit an einem eigenen wissenschaftlichen Qualifizierungsprojekt, i.d.R. Habilitation
Ihr Profil:
Abgeschlossene Promotion (Dr. rer. nat. oder Dr. Ing.) oder zumindest eingereichte Dissertation in Bioinformatik, Informatik, Biologie, oder einem anderen naturwissenschaftlichen Fach
Interesse an mathematischer Modellierung biologischer Prozesse
Kenntnisse in der Computerprogrammierung
Bewerbung über das Online-Formular im unten angegebenen Link. Die Frist wird evtl. noch verlängert.
Link: Online-Stellenmarkt der Universität Jena, Wissenschaftliche:r Mitarbeiter:in Bioinformatik
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