ISCB Affiliated Group Logo

Stellenangebote

2 Stellen als Wissenschaftlicher MitarbeiterIn (m/w/d) (DoktorandIn oder Postdoc) in Bioinformatik [LMU München]

In der Arbeitsgruppe von Prof. Dr. Caroline Friedel an der Ludwigs-Maximilians-Universität München sind frühestens zum 1.10.2019 zwei Stellen als 

Wissenschaftlichen Mitarbeiter/in (TV-L 13, 100%) 

als Promotions- oder Postdoc-Stelle zu besetzen. Der Beginn der Stelle ist flexibel bis zum 31.3.2020. Eine Bewerbung ist auch bereits jetzt möglich, wenn Master oder Promotion erst in einigen Monaten abgeschlossen werden. Beide Stellen werden durch die DFG gefördert.

Themen der Stellen:

1. Großskalige Untersuchung von Short-Read-Archiven zu Störungen in der Transkriptionsterminierung und zirkulärem Spleißen / Large-scale investigation of short read archives for disruption of transcription termination and circular splicing

Ziel dieses Projektes ist dabei die Entwicklung und Anwendung von neuen Methoden zum Durchsuchen großer Read-Datenbanken wie die NCBI SRA nach Evidenz für Störungen in der Transkriptionsterminierung und speziellen Splicing-Ereignissen. 

Details: https://www.bio.ifi.lmu.de/aktuelles/stellenangebote/friedel_sra_mining/sra_details.html 

2. Funktionelle Analyse der Induktion offenen Chromatins stromabwärts von Genen in der HSV-1-Infektion / Functional analysis of downstream open chromatin induced in HSV-1 infection

In früheren Studien haben wir festgestellt, dass HSV-1 Infektion zu einer massiven Störung der Transkriptionsterminierung führt, die mit offenem Chromatin in intergenischen Regionen assoziert ist. In diesem Projekt sollen nun RNA-seq und ChIP-seq Daten aus einer Kollaboration mit Prof. Lars Dölken vom Institut für Virologie der Universität Würzburg analysiert werden und neue Methoden entwickelt werden, um den Mechanismus und auslösenden Faktor für das offene Chromatin zu identifizieren.

Details: https://www.bio.ifi.lmu.de/aktuelles/stellenangebote/friedel_sra_mining/details_chromatin.html

Voraussetzungen: 

Kandidatinnen und Kandidaten sollten ein Hochschulstudium (Master/Diplom) bzw. eine Promotion für die Postdoc-Stelle in Bioinformatik oder einem nahe verwandten Fachgebiet absolviert haben oder kurz vor dem Abschluss stehen. Vorausgesetzt werden gute Programmierkenntnisse (Java, Python und/oder Perl) und Interesse an quantitativer Datenanalyse und bioinformatischer Methodenentwicklung. Erfahrungen mit der Analyse von Hochdurchsatz-Daten, insbesondere Next-Generation Sequencing-Daten, wären von Vorteil. 

Bewerbungen mit den üblichen Unterlagen (Lebenslauf, Zeugniskopien, Master/Diplom-Arbeit bzw. Doktorarbeit als PDF per Email) bzw. Fragen zur Stellenausschreibung sind zu richten an:

Prof. Dr. Caroline Friedel 
Lehr- und Forschungseinheit für Bioinformatik
Institut für Informatik
Ludwig-Maximilians-Universität München
Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!
 
 

UNIVERSITÄT GÖTTINGEN - W2 tenure track - Bioinformatik

Die Universitätsmedizin Göttingen (UMG) verfolgt im Rahmen ihrer strategischen Planung die konsequente Weiterentwicklung ihrer profilbildenden Forschungsschwerpunkte Neurowissenschaften, Herz-Kreislauf-Medizin und Onkologie mit translationalen und systemmedizinischen Ansätzen und ist auf dem Göttingen Campus eng vernetzt mit den natur- und biowissenschaftlichen Einrichtungen der Universität sowie den außeruniversitären Einrichtungen am Standort.

Im Institut für Medizinische Bioinformatik der UMG ist eine

Universitätsprofessur
Bioinformatik
(Bes. Gr. W2 auf Zeit, tenure track)


zum nächstmöglichen Zeitpunkt zu besetzen. Die Besetzung erfolgt zunächst für einen Zeitraum von 5 Jahren. Die Überleitung in eine Lebenszeitprofessur ohne Ausschreibung erfolgt nach einer positiven Evaluation.

Die Professur ist mit dem Aufbau und der Leitung einer Arbeitsgruppe am Institut für Medizinische Bioinformatik verbunden. Erwartet wird eine herausragende Promotion in Bioinformatik, Informatik, Statistik, Naturwissenschaften oder in einem verwandten Fach mit einer starken Komponente in der quantitativen Auswertung von biomedizinischen Daten. Außerdem werden Erfahrungen in eigenständiger wissenschaftlicher Tätigkeit auf dem Gebiet der Bioinformatik oder Data Science erwartet, welche durch einschlägige Publikationen und/oder Drittmitteleinwerbungen belegt sind.

Im Rahmen der Professur soll die methodische Entwicklung von Analyseverfahren zu biomedizinischen Hochdurchsatzdaten (z.B. Methoden des Maschinellen Lernens und zur Integrativen Datenanalyse) vorangetrieben werden. Erfahrungen mit Omics-Daten oder Bilddaten in der Biomedizin sind aus diesem Grund erwünscht.

Die Professur soll eine Brücke von der Medizinischen Bioinformatik zum Zentrum für Angewandte Informatik, zum Zentrum für Statistik und den derzeit im Aufbau befindlichen Data Science Aktivitäten in Göttingen schlagen.
Die Professur sollte weiterhin die Anwendungen der Bioinformatik in der Systemmedizin durch geeignete methodische Forschung unterstützen.
Eine positiv evaluierte Juniorprofessur, Habilitation oder gleichwertige wissenschaftliche Leistungen sowie pädagogische Eignung werden ebenso wie die Bereitschaft zur Mitwirkung an der akademischen Selbstverwaltung vorausgesetzt.

Weiterhin werden vorausgesetzt:

  • ein hohes Engagement in der Lehre,
  • die Bereitschaft zu interdisziplinärem wissenschaftlichen Arbeiten und
  • die Bereitschaft und Fähigkeit, drittmittelgeförderte Forschungsprojekte kompetitiv einzuwerben

Die weiteren Einstellungsvoraussetzungen für Professorinnen und Professoren ergeben sich aus § 25 des Niedersächsischen Hochschulgesetzes in der zurzeit geltenden Fassung. Bewerberinnen und Bewerber, die an der Universität Göttingen promoviert haben, können in der Regel nur berücksichtigt werden, wenn sie nach der Promotion mindestens zwei Jahre außerhalb der UMG wissenschaftlich tätig waren. Die UMG besitzt das Berufungsrecht.

Bewerbungen von Wissenschaftlerinnen und Wissenschaftlern aus dem Ausland sind ausdrücklich erwünscht. Die UMG strebt eine Erhöhung des Frauenanteils an und fordert daher qualifizierte Frauen ausdrücklich zur Bewerbung auf. Schwerbehinderte werden bei entsprechender Eignung bevorzugt berücksichtigt.

Bitte reichen Sie Ihre Bewerbungsunterlagen bis spätestens 25. August 2019 online über folgenden Link ein:
http://go.umg.eu/berufungen

Bei Fragen stehen wir unter Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein! gerne zur Verfügung.

1 Postdoc in Bioinformatics, 1 Bioinformatician / Computational Scientist, 1 Scientific Software Developer [DKFZ, Heidelberg]

Three open positions in the Bioinformatics and Omics Data Analytics Group at the DKFZ in Heidelberg.   

The new Collaborative Research Centre “Understanding and Targeting Resistance in Glioblastoma” (UNITEGLIOBLASTOMA, SFB1389) is focused on decoding and combating resistance in glioblastoma, a serious and usually fatal brain tumor in children and adults. The goal of the research consortium is to understand the molecular mechanisms of resistance against current therapies and to develop new types of treatment. At the heart of the CRC is the “Core Collection”, for which uniform, integrated data sets from multiple omics analyses, preclinical models, imaging, and clinical data are being generated.

We invite applications of enthusiastic and motivated Bioinformaticians / Computational Scientists / Scientific Software Developers to join the UNITE core work package “Data integration, bioinformatics analysis, and data exploration for precision neurooncology”.

The complete announcements, contact details and information how to apply can be found here:

 



Wissenschaftlicher Mitarbeiter (m/w/d) im Bereich Bioinformatik (TV-H E13 100%) [Gießen]

An der Professur für Algorithmische Bioinformatik am Institut für Systembiologie an der Justus-Liebig-Universität Gießen ist eine Vollzeitstelle mit einer/einem Wissenschaftlichen Mitarbeiter/in zu besetzen.

Aufgaben:

·        -  Eigene wissenschaftliche Weiterbildung (Promotion); hochschuldidaktische Qualifizierung; wissenschaftliche Dienstleistungen in Forschung und Lehre gemäß § 65 HHG

·     -Übernahme von Lehraufgaben gemäß Lehrverpflichtungsverordnung des Landes Hessen•Gestaltung weiterer wissenschaftlicher Profilbildung der neuen Professur für Algorithmische Bioinformatik und in Kooperation mit weiteren Mitarbeitern/innen Übernahme der Neu-entwicklung bioinformatischer Algorithmen, umfangreicher Implementierungen u.a. zum phylogenie-basierten Genom-Annotations-Recruitment und statistische Analyse von Mikrobiom Data

Anforderungsprofil:

·         Abgeschlossenes wissenschaftliches Hochschulstudium in einem naturwissenschaftlichen Fach sowie Lehrerfahrungen auf dem Gebiet Bioinformatik/Genomforschung/Sequenz-analyse

·         Umfassende praktische Erfahrung in der Genomik, insbesondere in der automatisierten Analyse von Mikroorganismen

·         Idealerweise werden diese Voraussetzungen durch umfangreiche Python-Programmier-kenntnisse ergänzt

·         Ebenfalls wünschenswert ist Erfahrung im Umgang mit High Performance Computing Systemen, wie z. B. Rechenclustern, Big Data Frameworks und des kollaborativen open-source Softwareengineering.

 

Link zur kompletten Ausschreibung: http://www.inst.uni-giessen.de/stellenmarkt/pdf/stelle0012053.pdf

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

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 have an end date of 31st December 2020 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: 4th August 2019.

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

 

 

Ph.D./Posdoc position in computational detection of RNA-DNA triple helices

The Institute for Computational Genomics, RWTH Aachen University
performs cutting edge research on computational and genomic methods
for understanding regulatory and epigenetic processes driving cell
differentiation and diseases (Gusmao, Nature Methods, 2016, Li, Genome
Biology, 2019). This project aims studying RNA-DNA interactions as
mechanisms of transcriptional control. We have recently shown how
long-noncoding RNAs (HOTAIR, GATA6-AS, NEAT1) interacts with DNA via
triple helices to control the expression of genes during cell
differentiation (Kalwa et al., NAR, 2016; Kuo, NAR, 2019; Frank, Cell
Stem cell, 2019).

We are looking for a phd/postdoc candidate to work on sequence
analysis algorithms and statistical models for detection of RNA-DNA
triple helices. This includes the analysis of novel in vitro
transcription experiments and target sequencing protocols, which
capture triple helix forming RNA and DNA molecules. This project will
be performed in collaboration with cell biologists of RWTH Aachen,
University of Cologne and University of Oslo.

Applicants should hold a M.Sc. or Ph.D. in Bioinformatics or Computer
Science. Experience in the analysis of biological sequences and
regulatory genomics is required. The candidate should have solid
programming skills (C, Python and/or R) and acquaintance with
Unix/Linux. Experience with high performance computing is a plus. The
working language of the group is English. The position is a will be
initially for 3 years with possibility of extension. The salary
corresponds to level 13 TV-L.

Interested candidates should send a brief statement of research
interests, CV and the names of three references to Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!.

2x PhD pos., Comp. biochem./chem. or struct. bioinf., University of Duesseldorf, Gohlke group

Applications are invited for two PhD student positions in the Computational Pharmaceutical Chemistry & Molecular Bioinformatics group (Prof. Dr. Holger Gohlke, http://cpclab.uni-duesseldorf.de/) at the Heinrich-Heine-University, Düsseldorf, Germany.

PhD student position 1: Overcoming lantibiotics resistance in bacterial pathogens: Nisin as a model system
Topic: Lantibiotics are antimicrobial peptides that are produced by Gram-positive bacteria and bactericidal against other bacteria in the low nanomolar range. Because of their high selectivity and stability, lantibiotics are considered valuable future anti-infective agents. The best-studied lantibiotic is Nisin. Various human pathogenic strains of bacteria have been found to have natural immunity to nisin, attributed to, e.g., the nisin resistance protein (NSR) or ABC transporter NsrFP. By structure-based design, hit molecules have been identified that inhibit NSR, and a structural model of NsrFP has been generated. In this project within the DFG-funded GRK 2158 (http://www.grk2158.hhu.de/en.html), the inhibitory, physicochemical, and pharmacokinetic properties of the hits will be improved by structure-based and computer-aided drug design, analog searches, synthesis, and in vitro and in vivo testing. Furthermore, the mechanism of NsrFP will be scrutinized by molecular simulations with the aim to identify novel compounds that inhibit the transporter. Our group has a strong background in computational pharmaceutical chemistry and molecular informatics and will collaborate with the Smits, Pfeffer, Kalschauer, Stork, Pietruszka and Müller groups of the GRK 2158.
Availability: The position is available as of 01.10.2019.

 

PhD student position 2: Functional analyses in silico and in vitro of consequences of cholestasis-associated mutations
Topic: Mutations in several genes (ATP8B1, ABCB11, ABCB4, TJP2, NR1H4, MYO5B) contribute to the development of severe forms of intrahepatic cholestasis. Since most mutations are only found in one or two families, their clinical consequences are often unknown. In particular, biological consequences of missense mutations (38-66% of mutations in ATP8B1, ABCB11, and ABCB4 in patients with severe cholestasis) are less clear. In this project performed within the BMBF-funded Hereditary Intrahepatic Cholestasis Translational Network (HIChol), novel missense mutations will be structure-based analyzed for their potential impact on interactions with surrounding residues, substrate and cofactor binding, protein stability, structural dynamics. While molecular models have been established for ABCB11 and ABCB4, and experimental structural information is (in part) available for TJP2, FXR, and MYO5B, a structural model of FIC1 will be generated. In collaboration with the Department of Gastroenterology, Hepatology and Infectious Diseases, University Hospital, Heinrich Heine University Düsseldorf, results from molecular modelling and simulations will be tested for selected mutations by transfection of mutated cDNA into polarized hepatoma cell lines and HEK293 cells. Trafficking, subcellular localization, and function will then be studied. The cell culture approach will be used to optimize the predictions from molecular modelling and simulations. Results from this project will allow for classification of detected missense mutations into subgroups according to their cell biological consequences (e.g., maturation, trafficking, targeting, or function), and selected mutations will be further analyzed within HIChol.
Availability: The position is available immediately.

Requirements: Ideal candidates will have a record of excellence and a strong background in computational biochemistry, molecular informatics, and computational structural biology as well as a high interest in working in an interdisciplinary research field, and profound knowledge in state-of-the-art molecular dynamics simulations (Amber) software and molecular modeling.

How to apply: Applicants should submit applications (a one-page letter of motivation why they are interested in the respective project and how they can contribute to the project’s success, a current CV, and contact data of three references) by email to gohlke*uni-duesseldorf.de. Please provide all documents as one PDF file and specify for
which position you are applying.

Detailed information about living and studying in Düsseldorf is provided here:

 

http://www.uni-duesseldorf.de/home/leben-in-duesseldorf.html

Bioinformatics PhD [FibroOmics]

This PhD position will provide sophisticated bioinformatics analysis for a new project initiative, FibroOmics, which aims to accelerate improvements in the understanding and treatment of lung fibrosis. This project involves cutting edge molecular and analytical techniques, including single cell RNA sequencing (scRNA-seq), signal deconvolution, therapeutic target discovery, and interactive software development. FibroOmics has strong translational relevance and unique access to patient samples for Omics studies.

The successful candidate will apply and develop sophisticated bioinformatics algorithms, drawing on methodologies of the domains of statistics, computer science and machine learning. Previously published methodologies will be utilized as a starting point, but it should be emphasized that there will be a need for novel algorithm development.

The position will be located at Hannover Medical School (MHH) in the context of its membership in the German Center for Lung Research (DZL, Deutsche Zentrum für Lungenforschung), an association of the leading university and non-university institutions dedicated to translational lung research in Germany. At the DZL site in Hannover (BREATH) biomedical researchers utilize the full spectrum of high throughput molecular techniques (“Omics”) metagenomics, whole genome and exome sequencing, RNA-seq, among others to lung diseases such as cystic fibrosis, chronic obstructive pulmonary disease, idiopathic pulmonary fibrosis, lung transplantation as well as rare genetic disorders.  This combination of proximity to the clinic with cutting edge Omics applications makes the BREATH site a unique workplace for bioinformaticians to help impacting patient outcomes.

Basic Requirements

·        Master’s degree in Bioinformatics, Molecular Biology, Computer Sciences, Statistics or Mathematics or other related field.

·        Analytical ability founded either in statistics, mathematics, or computer science principles

·        Proficiency in at least one programming / scripting language such as python, c/c++, Java, R, perl etc.

Desired Qualifications

·        Previous experience in Bioinformatics (desired, but optional)

·        Experience working with Next Generation Sequencing technologies (desired, but optional)

·        Expertise in at least one of the relevant interdisciplinary pillars: genetics, molecular biology, machine learning, statistics, computer science, mathematics (at least one is required)

Important Characteristics

·        Strong drive and interest in interdisciplinary approaches

·        A thirst for knowledge

·        Enjoyment of working in a team

·        A desire to hold one’s self to the highest standards of professional and academic excellence

This position offers:

·        A doctoral degree in the natural sciences – Dr. rer. nat. upon successful completion and ample opportunities for writing publications.

·        Salary is in accordance with the Tarifvertrag für den Öffentlichen Dienst der Länder (TV-L)

·        An interdisciplinary and collaborative work environment

·        Comprehensive health-promotion programs

·        Reliable family services, including emergency child care

The position start date is planned for October 1st, 2019.

The MHH is committed to supporting the professional careers of women and applications form women are particularly desired. People with disabilities will be preferred when their qualifications match or exceed those of other applicants.

Please direct inquiries to Dr. David DeLuca, Tel. +49 511-532 7873 and send your applications by email to Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!

 

 

Postdoctoral Researcher (f/m/d) on omics data analyses of cellular senescence, for 3 years, with the possibility of a 2-year extension

The Institute for Biostatistics and Informatics in Medicine and Ageing Research at the Rostock University Medical Center seeks, starting 1. Sept 2019 or as soon as possible thereafter, a Full-time Postdoctoral Researcher (f/m/d) on omics data analyses of cellular senescence, for 3 years, with the possibility of a 2-year extension, subject to budgetary approval.

** Interviews/inquiries possible at ISMB'19, e.g. at the Career Fair Thu 12:40-2pm,
and at the "Bioinformaticians in Aging & Senescence Research" Birds-of-a-feather,
Wed 12:45-1:45pm, see https://www.iscb.org/ismbeccb2019-program/ismbeccb2019-bof **

+ Your tasks:
* Analysis of the data of an in-depth biomarker study investigating the senescence-related molecular processes behind cancer and stroke, in human and mouse, to establish a biomarker kit
* Sequence data analysis, machine learning and data integration
* Analysis of transcriptomics, proteomics, clinical chemistry, and questionaire data
* Writing of scientific papers and applications, and contributions to joint papers and applications
* Qualification towards Habilitation (post-doctoral degree certifying research and teaching expertise)

+ Advantages for you:
* A stimulating environment where your contribution has a real impact
* An exciting project, aiming at biomarkers for senotherapy
* Collaboration with experimental and clinical groups, marked by aiming at first/last authorships that count for your Habilitation

+ What you need to bring to the table:
* Doctorate related to bioinformatics, or a research field in the medical/life/natural/mathematical sciences
* Programming/scripting skills, preferably including expertise in R
* Strong communication skills (oral presentations and in writing)
* (Nice to have): Biostatistics expertise (Cox hazard modeling; descriptive statistics)

+ If this describes you and your intentions then please send your application in a single PDF document, consisting of:
* CV
* Brief statement of research interests and qualifications
* Contact information for 2-4 scientists who may write a letter of recommendation

For further information:
Prof. Dr. Fuellen, Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!, +49 381-494-7360,
Director of the Institute for Biostatistics and Informatics in Medicine and Ageing Research, Rostock.

The University of Rostock is an equal opportunity employer. To increase the number of women in research and teaching, female applicants are recommended to apply. Applicants with disabilities will be favoured if they are equally qualified. 

Image processing specialist (f/m/d) [Leibniz Institute for Experimental Virology (HPI)]

The Heinrich Pette Institute, Leibniz Institute for Experimental Virology (HPI), in the context of the Leibniz ScienceCampus “Integrative analysis of pathogen-induced compartments” (InterACt) seeks to recruit an 

Image processing specialist (f/m/d).

HPI is committed to research on the biology of different human viruses as well as the pathogenesis of viral diseases and offers the opportunity to perform cutting-edge research in a world-class research environment with excellent facilities. The Leibniz ScienceCampus InterACt is newly established and will link and strengthen the unique competence in infection research of the Leibniz Center Infection (LCI) with complementary expertise in structural biology, biophysics, chemistry and informatics at the Universität Hamburg, including excellent imaging infrastructures at HPI and the Centre for Structural Systems Biology (CSSB).

The Microscopy and Image Analysis technology platform at HPI offers both, a variety of electron microscopic techniques, such as transmission and serial block phase scanning electron microscopy, as well as innovative light and fluorescence microscopy plus dedicated expertise and workflows for their correlative application to analyze virus-infected cells and tissues. 

We are looking for a bioinformatician, computer scientist, experimental virologist, cell biologist or scientist with similar background having expertise and interest in analyzing and quantifying complex multiscale imaging data from virus-infected cells. The candidate should develop analysis tools to integratively analyze the dynamics of pathogen-induced compartments from data across scales. Additionally, the image processing specialist should train users and will serve as first line user support to explore the full information and full potential of their imaging data sets. The successful candidate should actively participate and be an integral part of the newly established Leibniz ScienceCampus InterACt and will benefit from its framework of collaborations.

Applicants should hold a doctoral degree (or equivalent) in the field of bioinformatics, computer sciences, molecular biology, molecular life sciences, biophysics, cell biology or similar, ideally with a research expertise in live-cell imaging data analysis, correlative microscopy or integrated imaging. A benefit would be knowledge about optimized single particle tracking algorithms and modern computational methods like machine learning. 

The position is available from August 2019 and is to be filled as soon as possible. The funding is through the Leibniz ScienceCampus InterACt for 4 years with the possibility of a 4-year extension. Payment and social benefits will be in accordance with the regulations of the German TV-AVH (salary agreement for public service employees).

If you have further questions regarding InterACt or the position, please do not hesitate to contact Kay Grünewald (Email: Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!) or Frederike Ahr (Email: Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!)

We aim to increase the percentage of women in research, and therefore encourage female scientists to apply. Equally qualified candidates with disabilities will be considered preferentially. 

Please submit your application until August 1, 2019. Late applications may be considered until the position is filled. 

Heinrich Pette Institute, Leibniz Institute for Experimental Virology

Personnel Department

Martinistraße 52, 20251 Hamburg

e-mail: Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!