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Stellenangebote

Postdoc oder PhD in Statistischer Bioinformatik (Entgeltgruppe 13 TV-L / Vollzeit)

Die Hochschule Koblenz mit ihren Standorten in Koblenz, Remagen und Höhr-Grenzhausen bietet Lehre, Weiterbildung und angewandte Forschung mit einem umfangreichen Präsenz- und Fernstudienangebot in den Bereichen Mathematik, Wirt- schaft, Technik, Bauwesen, Sozialwissenschaften und Freie Kunst. Derzeit studieren an der Hochschule insgesamt mehr als 9.100 Studierende, die von 170 Professorinnen/Professoren und mehr als 400 Beschäftigten betreut werden.

Der Fachbereich Mathematik und Technik am RheinAhrCampus Remagen sucht im Rahmen der DFG-Forschungsgruppe FOR 2800: “Chromosomal Instability: Cross-talk of DNA replication stress and mitotic dysfunction“ (www.for2800.de) zum nächstmöglichen Zeitpunkt eine/n

Postdoc oder PhD in Statistischer Bioinformatik (Entgeltgruppe 13 TV-L / Vollzeit)

befristet für 3 Jahre in der Arbeitsgruppe von Professor Dr. Maik Kschischo. Wir suchen exzellente junge Forscher mit Inte- resse für Netzwerk-und Systembiologie, Statistik und Maschinelles Lernen und/oder Krebsgenomik. Das Ziel unseres Projekts ist sowohl die Entwicklung neuer statistischer und maschineller Lernverfahren und Algorithmen zur besseren Analyse komplexer und hochdimensionaler Daten als auch die Anwendung dieser Modelle auf biologische Fragestellungen zu chro- mosomaler Instabilität und Replikationsstress. Dabei besteht ein enger Bezug zur Krebsbiologie und anderen chromoso- malen Erkrankungen.

Was erwartet Sie?

  • exzellente interdisziplinäre Forschungsmöglichkeiten

  • hervorragenden Kooperationsmöglichkeiten mit den biologischen Arbeitsgruppen in FOR 2800 und mit internationalen

    Partnern

  • Unterstützung bei der Entwicklung eines eigenständigen Forschungsprofils und Karriereentwicklung

  • Betreuung der Promotion in Kooperation mit einer Universität

  • Freiraum und Unterstützung bei der Umsetzung eigener kreativer Ideen

Was erwarten wir?  

  • Master- oder Diplomabschluss in Biomathematik, Statistik, Bioinformatik, Mathematik, Physik, Informatik oder einer In- genieurswissenschaft

  • exzellente mathematische und statistische Kenntnisse

  • gute Programmierkenntnisse (vor allem R oder Python)

  • Eigeninitiative, Interesse, Kreativität und Begeisterungsfähigkeit

  • gute Englischkenntnisse 

Die Hochschule Koblenz gilt als vorbildliche Wissenschaftseinrichtung, die in ihrer Organisation für Chancengleichheit und Vereinbarkeit von Beruf und Familie eintritt. Bewerbungen von qualifizierten Wissenschaftlerinnen sind ausdrücklich er- wünscht. Schwerbehinderte Bewerberinnen/Bewerber werden bei gleicher Eignung bevorzugt eingestellt.Bitte senden Sie Ihre aussagefähigen Bewerbungsunterlagen unter dem Betreff “FOR-2800-PhD” in einer pdf-Datei bis zum 6. Januar 2019 per Email an Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!

Links: www.for2800.de

wissenschaftliche Mitarbeiterin oder wissenschaftlicher Mitarbeiter im Bereich Biostatistik oder Bioinformatik

Am Institut für Tierzucht und Vererbungsforschung der Tierärztlichen Hochschule Hannover ist ab dem 01. April 2019 eine Stelle als

 

wissenschaftliche Mitarbeiterin oder wissenschaftlicher Mitarbeiter im Bereich Biostatistik oder Bioinformatik

 

mit 65% der vollen Arbeitszeit zu besetzen. Die Stelle ist auf drei Jahre befristet. Die Anfertigung einer Promotion im Rahmen eines PhD-Programms wird erwartet. Die Mitarbeiterin oder der Mitarbeiter wird ihre/seine Promotionsarbeit im Rahmen des DFG-geförderten Graduiertenkollegs VIPER anfertigen.

 

Aufgaben sind die die Mitarbeit in den Forschungsaktivitäten der Arbeitsgruppe „Genomics and Bioin-formatics of Infectious Diseases“. Dazu zählen vor allem die Weiterentwicklung von statistisch-bioinformatischen Methoden für die Analyse von High-Throughput-Sequenzdaten und High-Throughput-Genexpressionsdaten (NGS-, Microarrays-Daten) aus dem Bereich der Infektionsfor-schung.

 

Voraussetzung für eine Bewerbung ist ein abgeschlossenes wissenschaftliches Hochschulstudium mit Masterabschluss in Bioinformatik, Statistik, Molekularbiologie oder einem vergleichbaren Fach. Darüberhinaus werden Kenntnisse in der Shell-Programmierung unter Linux sowie in der Program-mierumgebung R erwartet.

 

Die Vergütung erfolgt nach E 13 TV-L.

 

Schwerbehinderte Bewerberinnen und Bewerber werden bei gleicher Eignung vorrangig berücksichtigt.

 

Bitte senden Sie Ihre aussagekräftige Bewerbung per E-Mail bis spätestens 15.01.2019 an Frau Dr. Ann-Kathrin Haverkamp (Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!), unter Angabe des Kennworts „VIPER/BIOINFORMATICS“. Bitte beachten Sie auch die Bewerbungsrichtlinien auf https://www.tiho-hannover.de/forschung/dfg-grk-viper/. Weitere Auskünfte zu der Stelle erteilt Ihnen gerne Herr Prof. Dr. Klaus Jung (Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!), Institut für Tierzucht und Vererbungsforschungs, Tierärztliche Hochschule Hannover.]

 

 

Links: https://www.tiho-hannover.de/fileadmin/user_upload/tiho_hannover/kliniken_institute/25_tierzucht/Bioinformatik/Stellenausschreibung_Bioinf_07122018_VIPER.pdf

POSTDOCTORAL RESEARCHER IN FREE ENERGY CALCULATIONS (BERLIN)

We are seeking a talented postdoctoral fellow to work at the interface of structure-informed machine learning and

alchemical free energy calculations as part of an exciting new collaboration between Prof. Dr. Andrea Volkamer and

BIH Einstein Visiting Fellow Prof. Dr. John Chodera. This project seeks to develop an integrated framework for

utilizing both state-of-the-art machine learning approaches and free energy calculations to exploit structural data,

assay data, and scalable computing resources to predict the polypharmacology of small molecule kinase inhibitors.

The postdoc will be embedded in the Volkamer group , situated within the exciting research environment of the

Charité in Berlin, and make a few extended visits to the Chodera lab at the Memorial Sloan Kettering Cancer Center

in New York City. The postdoc will be jointly supervised by Andrea Volkamer and John Chodera, with John Chodera

making several extended visits to the Charité per year under the auspices of the BIH Einstein Visiting Fellowship.

Work will focus on the development of absolute and relative alchemical free energy calculations approaches and

their integration with structure-informed machine learning approaches for predicting ligand binding affinities,

kinase polypharmacology, and the susceptibility of inhibitor binding affinities to clinical resistance mutations. The

postdoc will focus on extending our open source GPU-accelerated Python toolkits (such as openmmtools , yank , and

perses ) for protein-ligand absolute and relative alchemical free energy calculations (built on OpenMM ) and the

development of robust modeling and prediction workflows. This is an exciting opportunity to work at the

intersection of physical modeling, machine learning, and drug discovery as a stepping stone to a career in industry

or academia. Position is pending final confirmation of funding.

Starting date: 1 Feb 2019 or shortly thereafter (for up to 3 years)

Salary: TV-L E13, 100%

Desired qualifications :

● Experience with the theory and practice of small molecule alchemical free energy calculations

● Comfortable with the Python programming language

● Exposure to modern open source software development practices (GitHub, unit tests, continuous

integration)

● Good multidisciplinary team working and communication skills

Bonus qualifications:

● Experience with high-performance computing clusters and/or cloud computing

● Experience with OpenMM or machine learning frameworks such as TensorFlow

● Experience with cheminformatics, computer-aided drug discovery and/or kinase inhibition

How to apply: Interested candidates are invited to send a pre-application to Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein! with the

subject line “Postdoc application” that includes:

● a cover letter explaining your motivation, background, and qualifications for the position

● a detailed Curriculum Vitae (including a list of publications)

● contact information of two references

Deadline: 21 Dec 2018

see also:

https://www.charite.de/service/stellenangebot/angebot/detailinfo/dm19818b_postdocresearch_scientist/

Ph.D. Student in Biomedical Data Science (HIV)

The Chair for Methods in Medical Informatics (Prof. Dr. Nico Pfeifer), Department of Computer Science at Eberhard Karls University Tübingen, one of eleven German universities distinguished as excellent under the German government’s initiative, is currently looking for a

 

Ph.D. Student in Biomedical Data Science (HIV) (E13 TV-L, 65%)

 

starting as soon as possible. The initial fixed-term contract will be for 3 years with possible extension. The position is funded by the Machine Learning Competence Center Tübingen (TUE.AI Center).

 

According to WHO about 37 million people have been living with HIV/AIDS world-wide at the end of 2017. Since there is no approved curative treatment, infected people have to take life-long anti-retroviral treatments (ART). Due to the high variability of HIV, resistant variants can emerge in patients even if they are under treatment. There are even cross-resistances between different ARTs. Therefore, there is a constant need for new targets. Highly potent and broadly neutralizing antibodies (bNAbs) have been promising candidates to fulfill this need. The goal of this Ph.D. project is to extend the work by Hake and Pfeifer to build an interpretable prediction model that can be used to give decision support for bNAbs treatment by applying and extending state-of-the-art machine learning methods.

 

The group has extensive knowledge at the interface between statistical machine learning, digital medicine, and computational biology. Nico Pfeifer is a PI in the excellence cluster “Machine Learning: New Perspectives for Science” starting in January 2019. We are developing methods that allow answering new biomedical questions (Speicher and Pfeifer 2015, Proceedings of ISMB/ECCB 2015) and optimize them in close contact with our excellent national and international biomedical partners (Carlson et al. 2016, Nature Medicine, Schoofs et al. 2016, Science, Döring et al. 2016, Retrovirology, Mendoza et al. 2018, Nature).

 

Prerequisites

The ideal candidate will have an M.Sc. or equivalent in Biomedical Data Science, Biometry, Biostatistics, Bioinformatics, Medical Informatics, Computer Science, Computational Biology or a related life science discipline. Applicants should have an interest in interdisciplinary work. Experience in data science and machine learning as well as strong programming/scripting skills (C/C++, R, Matlab, Python, JavaScript, Java) are desirable. Other relevant qualifications include:

  • Background in Statistics

  • Knowledge of the adaptive immune system (especially humoral immune response)

  • Experience with medical data (clinical data, molecular data, …)

  • Experience with high-throughput data (next-generation sequencing)

  • Databases (MySQL, NoSQL)

 

In case of equal qualification and experience, physically challenged applicants are given preference. The University of Tübingen aims at increasing the share of women in science and encourages female scientists to apply. Candidates will be officially employed by the administration of the University of Tübingen.

 

Please send your application (including motivation letter, curriculum vitae, transcripts and certificates, and contact details of two academic references) via e-mail to
Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein! with the subject: Ph.D. student application Biomedical Data Science (HIV).

 

Application deadline: December 21st, 2018.

Candidates are encouraged to send their application material early since we will start reviewing applications already before the deadline.

Post-doc in Biomedical Data Science (TB)

The Chair for Methods in Medical Informatics (Prof. Dr. Nico Pfeifer), Department of Computer Science at Eberhard Karls University Tübingen, one of eleven German universities distinguished as excellent under the German government’s initiative, is currently looking for a

 

Post-doc in Biomedical Data Science (TB) (E13 TV-L, 100%)

 

starting as soon as possible. The initial fixed-term contract will be for 2 years with possible extension.

 

According to WHO there were 558,000 cases of drug-resistant tuberculosis (TB) infections world-wide in 2017 of which 82% were multidrug-resistant. In this project, which is funded through a Horizon 2020 grant by the European Commission, the successful candidate will build a prediction engine that is able to provide treatment decision support for TB-infected patients by applying and extending state-of-the-art machine learning methods. This will be in close collaboration with our Western and Eastern European partners, with a focus on multidrug-resistant strains from Eastern Europe.

 

The group has extensive knowledge at the interface between statistical machine learning, digital medicine, and computational biology. Nico is a PI in the excellence cluster “Machine Learning: New Perspectives for Science” starting in January 2019. We are developing methods that allow answering new biomedical questions (Speicher and Pfeifer 2015, Proceedings of ISMB/ECCB 2015) and optimize them in close contact with our excellent national and international biomedical partners (Carlson et al. 2016, Nature Medicine, Schoofs et al. 2016, Science, Döring et al. 2016, Retrovirology, Mendoza et al. 2018, Nature).

 

Prerequisites

The ideal candidate will have a Ph.D. or equivalent in Biomedical Data Science, Biometry, Biostatistics, Machine Learning, Bioinformatics, Medical Informatics, Computer Science, Computational Biology or a related life science discipline. Applicants should have an interest in interdisciplinary work. Proven experience in data science and machine learning as well as strong programming/scripting skills (C/C++, R, Matlab, Python, JavaScript, Java) are desirable. Other relevant qualifications include:

  • Background in Statistics

  • Proficiency in Russian language (communication with Eastern European partners)

  • Knowledge of the adaptive immune system (especially humoral immune response)

  • Experience with medical data (clinical data, molecular data, …)

  • Experience with high-throughput data (next-generation sequencing)

  • Databases (MySQL, NoSQL)

 

In case of equal qualification and experience, physically challenged applicants are given preference. The University of Tübingen aims at increasing the share of women in science and encourages female scientists to apply. Candidates will be officially employed by the administration of the University of Tübingen.

 

Please send your application (including motivation letter, curriculum vitae, transcripts and certificates, and contact details of two academic references) via e-mail to
Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein! with the subject: Post-Doc application Biomedical Data Science (TB).

 

Application deadline: December 21st, 2018.

Candidates are encouraged to send their application material early since we will start reviewing applications already before the deadline.

Ph.D. Student in Biomedical Data Science (HCV)

The Chair for Methods in Medical Informatics (Prof. Dr. Nico Pfeifer), Department of Computer Science at Eberhard Karls University Tübingen, one of eleven German universities distinguished as excellent under the German government’s initiative, is currently looking for a

 

Ph.D. Student in Biomedical Data Science (HCV) (E13 TV-L, 65%)

 

starting as soon as possible. The initial fixed-term contract will be for 2 years with possible extension. The position is funded by the German Center for Infection Research (DZIF).

 

The prescription of direct-acting antiviral agents is associated with high rates of sustained virological response (SVR) in patients treated against hepatitis C virus (HCV). Treatment failure is associated with the presence of resistance-associated mutations (RAMs), which can emerge during treatment or be transmitted. The use of genotypic drug resistance tests such as geno2pheno[hcv] or geno2pheno[ngs-freq], which identify RAMs in the amino-acid sequences of the non-structural (NS) proteins NS3, NS5A, and NS5B, can guide treatment decisions. The successful candidate will use statistical methods to analyze next-generation sequencing (NGS) data and apply and extend state-of-the-art machine learning methods to further improve upon current genotypic systems.

 

The group has extensive knowledge at the interface between statistical machine learning, digital medicine, and computational biology. Nico Pfeifer is a PI in the excellence cluster “Machine Learning: New Perspectives for Science” starting in January 2019. We are developing methods that allow answering new biomedical questions (Speicher and Pfeifer 2015, Proceedings of ISMB/ECCB 2015) and optimize them in close contact with our excellent national and international biomedical partners (Carlson et al. 2016, Nature Medicine, Schoofs et al. 2016, Science, Döring et al. 2016, Retrovirology, Mendoza et al. 2018, Nature).

 

Prerequisites

The ideal candidate will have an M.Sc. or equivalent in Biomedical Data Science, Biometry, Biostatistics, Bioinformatics, Medical Informatics, Computer Science, Computational Biology or a related life science discipline. Applicants should have an interest in interdisciplinary work. Experience in data science and machine learning as well as strong programming/scripting skills (C/C++, R, Matlab, Python, JavaScript, Java) are desirable. Other relevant qualifications include:

  • Background in Statistics

  • Experience with medical data (clinical data, molecular data, …)

  • Experience with high-throughput data (next-generation sequencing)

  • Databases (MySQL, NoSQL)

Knowledge of the adaptive immune system is a plus.

 

In case of equal qualification and experience, physically challenged applicants are given preference. The University of Tübingen aims at increasing the share of women in science and encourages female scientists to apply. Candidates will be officially employed by the administration of the University of Tübingen.

 

Please send your application (including motivation letter, curriculum vitae, transcripts and certificates, and contact details of two academic references) via e-mail to
Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein! with the subject: Ph.D. student application Biomedical Data Science (HCV).

 

Application deadline: December 21st, 2018.

Candidates are encouraged to send their application material early since we will start reviewing applications already before the deadline.

3 PhD Student Positions in the Computational Plant Sciences []

HE GRADUATE SCHOOL
 
The International Max Planck Research School (IMPRS) on ‘Understanding Complex Plant Traits using Computational and Evolutionary Approaches’ is a local collaboration between the Max Planck Institute for Plant Breeding Research (MPIPZ) and the Universities in Cologne and Düsseldorf (Germany). The IMPRS has been established in 2002 and offers an international PhD programme in English. Students are closely supervised through an advisory committee, receive professional training in transferable and applicable skills and are supported to share their scientific insights.
 
THE RESEARCH
 
Our common goal is to understand the molecular basis of complex traits that differ between plant species and confer novel phenotypic characteristics. Computational approaches have become an integral part of our research, reflected by a continuously growing number of related projects and groups. The advertised projects will be performed in the groups of Angela Hancock (http://www.mpipz.mpg.de/imprs-hancock), Xiangchao Gan (http://www.mpipz.mpg.de/imprs-gan) and Stefan Laurent (http://www.mpipz.mpg.de/imprs-laurent & https://www.laurentlab.org/) and applicants have the opportunity to indicate a preference in the online application process.
 
YOUR PROFILE
 
You are a highly qualified and motivated student from any nationality with an MSc (or equivalent) degree in a related subject such as bioinformatics and population/quantitative genetics. You have a proved track record of academic and research excellence and are fluent in written and spoken English. Additionally, you have experience with one or more programming languages such as Python, Java, C/C++ and R.
 
OUR OFFER
 
We provide an excellent and interdisciplinary research environment with a state-of-the-art IT infrastructure. The positions are fully funded for 3 years with possible extension. We are committed to increasing the number of individuals with disabilities in the workforce and encourage applications from such qualified individuals. We furthermore seek to increase the number of women in those areas where they are underrepresented and therefore explicitly encourage women to apply.
 
YOUR APPLICATION
 
Apply by January 4, 2019 at gradschool.mpipz.mpg.de. Only applications submitted through the online platform will be considered. Shortlisted candidates will be invited to the MPIPZ for interviews on March 18-21, 2019. Successful candidates will start their positions preferably on October 1, 2019.
 
CONTACT
 
Dr. Stephan Wagner (IMPRS co-ordinator) at Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!
Apply online via https://gradschool.mpipz.mpg.de/ and find additional information at http://www.mpipz.mpg.de/imprs/

Bioinformatician [IMB]

The Institute of Molecular Biology gGmbH

funded by the Boehringer Ingelheim Foundation

is recruiting a

Bioinformatician (m/f)

(#CFBIO15) 

The Institute of Molecular Biology gGmbH (IMB) is a Centre of Excellence for Life Sciences funded by the Boehringer Ingelheim Foundation. IMB is located at the campus of the Johannes Gutenberg University in Mainz, Germany and offers premium scientific core facilities (see www.imb-mainz.de/core-facilities). The Bioinformatics Core Facility supports IMB researchers in the computational analysis of genomic data generated in the course of research projects. We are looking for a highly motivated Bioinformatician (m/f) with enthusiasm for academic research to join our team and support a newly formed Collaborative Research Centre, CRC 1361, on the topic “Regulation of DNA Repair and Genome Stability”, funded by the German Research Foundation DFG (see https://www.imb.de/about-imb/news).

You will:

•             Join exciting CRC projects studying the mechanisms of DNA repair and genome stability

•             Participate in the experimental planning, processing, interpretation and publication of various genomic, epigenomic and transcriptomic next-generation sequencing (NGS) datasets

•             Develop and implement custom bioinformatics workflows for data analysis and integration

 

Required qualifications:

•             University degree or postgraduate training in computational biology / bioinformatics

•             Extensive and broad experience in the computational analysis of NGS datasets

•             Solid programming skills and familiarity with Linux compute clusters

•             Sound knowledge of statistics, version control and R / Bioconductor

•             Good organisational, communication and interpersonal skills

•             Proficiency in written and spoken English

 

Desirable qualifications:

•             Experience in interdisciplinary collaborations or bioinformatics services

•             Knowledge of software engineering and bioinformatics pipelines

 

We offer:

•             Stimulating, diverse and international research environment

•             Flexible working hours and advanced training opportunities

•             Competitive salary and favourable pension scheme

 

To apply, please send a single PDF file containing your cover letter, CV, certificates and contact information of at least two professional references quoting Ref. No. CFBIO15 to Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!. IMB is an equal opportunity employer.

 

Starting Date:  as soon as possible

Duration:   initial contract for four years with the possibility of extension

Application Deadline:  20th January 2019

 

Declaration of Consent and Data Protection

By sending us your application, you are consenting to us saving your personal data in order to carry out the selection process. You can find more information on data protection and retention periods at www.imb.de/jobs/Data Protection.

 Links: https://www.imb.de/jobs/scientific-positions/

 

 

Wissenschaftliche/n Mitarbeiter/in (m/w/d) [Lehrstuhl für Epidemiologie/UNIKA-T]

Die Ludwig-Maximilians-Universität München ist eine der größten und renommiertesten Universitäten Deutschlands. Der Lehrstuhl für Epidemiologie/UNIKA-T, angesiedelt am Klinikum Augsburg, sucht zum nächstmöglichen Zeitpunkt eine/n

 

 

Wissenschaftliche/n Mitarbeiter/in (m/w/d)

 

 

Ihre Aufgaben:

·           Eigenständige Durchführung wissenschaftlicher Projekte zu Einflussfaktoren auf die Entstehung und den Verlauf von chronischen Krankheiten

·           Statistische Auswertung von großen Datensätzen (inklusive Omics-Daten)

·           Erstellung von wissenschaftlichen Publikationen und Berichten

·           Mitarbeit bei laufenden epidemiologischen Studien des Lehrstuhls

 

Ihr Profil:

·           Erfolgreich abgeschlossenes Hochschulstudium in den Bereichen Naturwissenschaft, Medizin oder verwandten Gebieten

·           Erfolgreich abgeschlossenes Zusatzstudium im Bereich Epidemiologie/Public Health

·           Praktische Erfahrungen in statistischer Datenauswertung (z.B. mit R oder SAS) und im Verfassen wissenschaftlicher Texte sind von Vorteil

·           Sehr gute Englischkenntnisse werden ebenso vorausgesetzt wie Kommunikationsfähigkeit, Teamgeist und Zuverlässigkeit

 

 

Unser Angebot:

Ihr Arbeitsplatz befindet sich am Campus des Klinikums Augsburg und ist gut mit öffentlichen Verkehrsmitteln zu erreichen. Wir bieten Ihnen einen interessanten und verantwortungsvollen Arbeitsplatz mit guten Weiterbildungs- und Entwicklungsmöglichkeiten.

 

Die Anstellung erfolgt befristet für 3 Jahre. Die Eingruppierung erfolgt nach dem TV-L, E13 (65%). Es besteht die Möglichkeit zur Promotion. Schwerbehinderte Bewerber/innen werden bei ansonsten im Wesentlichen gleicher Eignung bevorzugt. Die Bewerbung von Frauen wird begrüßt.

 

Bitte schicken Sie Ihre aussagekräftigen Bewerbungsunterlagen bis spätestens 07.01.2019 per Email an das Sekretariat des Lehrstuhls für Epidemiologie der LMU München am UNIKA-T, Frau Kötzner, Email: Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!. Für dringende Rückfragen steht Ihnen die Lehrstuhlleitung unter der Telefonnummer 0821-598-6471 zur Verfügung.