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Postdoc positions on "Identification of and Virtual Screening on Novel Allosteric Sites using Constraint Network Analysis"

Applications are invited for two Postdoc positions available in spring 2016 in the Computational Pharmaceutical Chemistry & Molecular Bioinformatics group (Prof. Dr. Holger Gohlke; http://cpclab.uni-duesseldorf.de) at the Heinrich-Heine-University, Düsseldorf, Germany.

Background: A quantitative description of allostery is fundamental to an understanding of processes in living systems and of practical relevance when developing allosteric modulators. The Gohlke group has developed Constraint Network Analysis (CNA) as a framework to analyze and predict allosteric sites in proteins.[1-3] The CNA approach analyzes the network coupling between putative binding sites by rigidity theory.
CNA applies concepts grounded in rigidity theory to analyze biomolecular flexibility [4] and how it might be perturbed by compound binding. The approach works on conformational ensembles [5] or ensembles of network topologies, [6] considering dynamics of molecules in an efficient way based on key intramolecular and intermolecular interactions (hydrophobic, H-bond, salt bridge constraints), without the need for very long molecular dynamics simulations. CNA is applied in a perturbation approach to gain structure-based insights into allosteric signaling and coupling in dynamic proteins. It is fast enough, for example, that one could perform an Alanine scan across the entire protein to identify which residues’ mutations might show the greatest perturbation at a given active site.
The Gohlke group already validated this approach against several targets. Thus, CNA is a useful tool for identifying novel allosteric sites and analyzing the effects of compound binding at these sites.

Objective: In collaboration with a major pharmaceutical company, we aim to extend and integrate the CNA approach into a virtual screening workflow to find novel chemical matter that would bind and appropriately perturb the identified allosteric sites to achieve desired pharmacological effects. In doing so, we will also fill a major gap in ligand-based virtual screening and enable automatic structure-based pharmacophore searches for targets.

Requirements: Ideal candidates will have a record of excellence (PhD plus publications in highly visible journals) and a high interest in working in an industrial collaboration. Postdoc 1 is required to have a strong chemoinformatics background and application-based skills; Postdoc 2 is required to have a strong structural bioinformatics / computational biochemistry-based background and programming skills in Python and C++.

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 Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein! . Please provide all documents as one PDF file and specify for which position you apply.

Detailed information about living and studying in Düsseldorf is provided here: http://www.uni-duesseldorf.de/home/leben-in-duesseldorf.html

References
[1]    Pfleger, C., Rathi, P. C., Klein, D. L., Radestock, S. & Gohlke, H. Constraint Network Analysis (CNA): A Python Software Package for Efficiently Linking Biomacromolecular Structure, Flexibility, (Thermo-) Stability, and Function. J. Chem. Inf. Model. 53, 1007-1015 (2013).
[2]    Rathi, P. C., Mulnaes, D. & Gohlke, H. VisualCNA: A GUI for interactive Constraint Network Analysis and protein engineering for improving thermostability. Bioinformatics 31, 2394-2396 (2015).
[3]    Kruger, D. M., Rathi, P. C., Pfleger, C. & Gohlke, H. CNA web server: rigidity theory-based thermal unfolding simulations of proteins for linking structure, (thermo-)stability, and function. Nucleic Acids Res. 41, W340-348 (2013).
[4]    Pfleger, C., Radestock, S., Schmidt, E. & Gohlke, H. Global and local indices for characterizing biomolecular flexibility and rigidity. J. Comput. Chem. 34, 220-233 (2012).
[5]    Rathi, P. C., Radestock, S. & Gohlke, H. Thermostabilizing mutations preferentially occur at structural weak spots with a high mutation ratio. J. Biotechnol. 159, 135-144 (2012).
[6]    Pfleger, C. & Gohlke, H. Efficient and robust analysis of biomacromolecular flexibility using ensembles of network topologies based on fuzzy noncovalent constraints. Structure 21, 1725-1734 (2013).

Making and Breaking Cancer Cells (ERC-funded Postdoc & PhD Positions)

A more complete PDF version of this job posting is available from the following URL:

http://epigenomics.cemm.oeaw.ac.at/files/Job_Posting_Making_and_Breaking_Cancer_Cells.pdf

For a recently awarded European Research Council (ERC) grant we are recruiting a postdoc and a PhD student who want to develop and apply advanced genomics and screening technology. We aim to explore whether epigenetic alterations alone may suffice to convert a normal cell into a cancer cell and vice versa. Progress along these lines will answer a fundamental question of cancer biology and provide a broadly useful platform technology for developing a new generation of epigenetic cancer drugs.

Our lab is based at the CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences in Vienna. It combines advanced technologies (epigenomics, single-cell sequencing, drug screening, mass spectrometry, imaging, etc.) with a deep interest in computational modeling and relevant clinical collaborations. We are working to advance cancer therapy through systems-level research focusing on the cancer epigenome.

The Project

Epigenetic alterations can be detected in all cancers and in essentially every patient. Despite their prevalence, the concrete functional roles of these alterations are not well understood. In this project, we aim to develop and apply epigenome programming technology that will allow us to precisely manipulate the epigenome and to rationally reprogram normal cells into cancer cells and vice versa. We will adapt CRISPR technology and combinatorial use of epigenetic drugs to high-throughput epigenome editing, develop suitable screening assays, and ultimately engineer and erase a cancer from scratch through a defined series of epigenetic modifications. This project will establish a broadly applicable methodology and toolbox for dissecting the functional roles of epigenetic alterations in cancer, and it will introduce a “build it to understand it” paradigm into cancer epigenetics, which will challenge our understanding of cancer as a (mainly) genetic disease.

The Candidate

We are looking for highly motivated and academically outstanding candidates who want to pursue a scientific career in the emerging field of medical epigenomics. An ideal candidate would have a background in molecular biology (including functional genomics, chemical biology, biotechnology, human genetics, molecular medicine, etc.) or in the computational sciences (bioinformatics, physics, statistics, etc.) and a strong interest in collaboration and teamwork at the interdisciplinary interface of cancer epigenetics, systems biology, and medicine.

Postdoc applicants should submit cover letter, curriculum vitae, academic transcripts, and contact details of three referees to Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!. Applications will be reviewed on a rolling basis, and any application received by 10 January 2016 will be considered. Start dates are very flexible. PhD candidates are asked to apply for the CeMM PhD program (http://www.cemm.oeaw.ac.at/phd-program).

Data Analyst / Bioinformatician

Short Summary: The Bergthaler laboratory at CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences offers an exciting position for a Data Analyst / Bioinformatician. Candidates with a background in computational biology who are ready to take on the challenge of integrating and analyzing systems-level data from complementary global experiments in the context of infectious diseases, inflammation and metabolism will be considered.

 

 

 

The Challenge: The successful applicant will integrate and analyze large data sets derived from different techniques including next-generation sequencing (RNA-seq, ChIP-seq, genomics) and mass-spectrometry (quantitative proteomics, protein-interaction networks, metabolomics). These data are generated in-house and may be complemented by additional data sets from public repositories. On top of such collaborations, the candidate is encouraged to drive her/his own research project and has the opportunity to perform experiments in the wet lab.

 

 

 

The Candidate: You should have a background in Computational Biology (Bachelor, Master or PhD degree), and a track record of successful data integration, global data analyses and the application of biomathematical and statistical methods. Expertise in data visualization is of advantage. Your publication record demonstrates your successful collaboration with biologists and highlights your expertise in programs such as R, Python, Matlab and/or systems biology tools such as Cytoscape. You bring to the job a creative mindset and the ability to think outside the box. Interdisciplinary and network thinking and strong communication skills as well as the ability to work independently and in a team would round off your profile. You are a self-motivated individual who is prepared to tackle the complexity of immunology and to make a difference within our quest on fundamental questions of infectious diseases.

 

 

 

The Lab: Our aim is to unravel novel molecular mechanisms of infectious diseases and inflammation. We employ an integrative approach comprising experimentally tractable infection models and state-of-the-art tools of virology, immunology, genetics, pathology, metabolomics and systems biology. A particular emphasis lies on chronic infections, superinfections and the crosstalk of metabolism and inflammation. The principal investigator has received training in premier laboratories at the University of Tokyo, University/ETH Zurich and at the Institute for Systems Biology in Seattle. The current group consists of 8 members from 7 countries, who closely collaborate across projects as a team and have published two recent high impact studies. Scientific and social interactions are promoted by weekly lab meetings, journal clubs, CeMMinars with internationally renowned guest speakers as well as by annual lab retreats. Lab websites: http://www.bergthaler1.at, http://goo.gl/a95KyW.

 

References: Bhattacharya*, Hegazy* et al. Immunity 2015, Johnson*, Bergthaler* et al. Journal of Immunology 2015, Schliehe C. et al. Nature Immunology 2014, Litvak V. et al. Nature 2012.

 

 

 

The Institute: CeMM is a flagship institute for biomedical research in the heart of Europe, Vienna. Our work is focused on unraveling the molecular basis of diseases in infections, inflammation and cancer. We are committed to highest scientific standards and provide a dynamic, interactive and international environment. Working language is English. CeMM has been repeatedly ranked by The Scientist as one of the Best Places to Work Academia worldwide (link: http://goo.gl/51VMO). The institute is situated within the medical campus of Vienna, which facilitates collaborations between basic scientists and clinicians. CeMM operates cutting-edge technology platforms and hosts two bioinformatics groups, offering an intellectually challenging and interdisciplinary environment for computational biologists.

 

 

 

Salary: The salary is compliant with the applicable collective agreement including an overpayment depending on the qualifications of the applicant. The definite salary agreement will be made during the personal interview.

 

 

 

Contact details: Interested candidates should please send their applications (including a cover letter, a CV and names and contact details of at least 2 referees) using the reference code #DA-AB1 to Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!. This call will remain open until the position is filled.

 

Bioinformatics position

The Medical Faculty of RWTH Aachen University operates a Genomics Facility at the Interdisciplinary Center for Clinical Research (IZKF) Aachen. The mission of the Genomics Facility is to carry out and support internationally outstanding research on DNA Microarrays and Next Generation Sequencing.

The open position is for a talented and motivated bioinformatics scientist to establish bioinformatics pipelines and perform data analyses (e.g. DNA-Seq, Chip-Seq, RNA-Seq) of NGS data generated in the Genomics Facility. The applicant is also encouraged to develop own research driven activities and to implement up-to-date methodology for data analysis. This will be done to support and in collaboration with the life science institutes and clinical departments of Medical Faculty of RWTH Aachen University. The opportunity to receive a PhD is given.

Your tasks:

• Understand scientific goals, and identify and implement bioinformatics solutions
• Deliver impactful bioinformatics support
• Work with scientists, clinicians, PhD students and postdocs to translate NGS analysis into research and clinical practice
• Proactively engage in knowledge sharing and peer support to build expertise in the tools and techniques
• Maintain the core facility computational servers

Your profile:

• M.Sc. degree (or Ph.D./Postdoc) in bioinformatics or related fields with at least 3 years of research experience in bioinformatics
• Demonstrated experience in bioinformatics methods for analysis of NGS data and management of large data sets
• Proficiency in programming languages such as shell script, R, Python or similar
• Acquaintance with Linux operation system administration and experience with web based bioinformatics environments (i.e. Galaxy) is a plus
• Skilled in effective communication of complex genomic data to a non-expert
• Interest to work in interdisciplinary teams

Salary and benefits are according to a public service position in Germany (TV-L E13).

The position shall be filled as soon as possible and is initially for 5 years with the possibility for extension.

RWTH Aachen University is certified as a "Family-Friendly University". We particularly welcome and encourage applications from women, disabled persons and ethnic minority groups, recognizing they are underrepresented across RWTH Aachen University. The principles of fair and open competition apply and appointments will be made on merit.

Please send your electronic application before 15.12.2015 to: Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!.

Naturwissenschaftler als IVD-Entwickler

CETICS Healthcare Technologies ist ein innovatives Technologieunternehmen der Gesundheitsbranche. Mit Sitz im Esslinger Life Science Center bieten wir automatisierte Lösungen in den Anwendungsgebieten Toxikologie, Diagnostik, Telemedizin und individualisierte Medizin an.

Zum nächstmöglichen Zeitpunkt suchen wir eine/n
Naturwissenschaftler als IVD-Entwickler

Ihre Aufgaben:
• Analyse und statistische Auswertung von Absorptionsspektren und biologischen Daten zur Entwicklung von Algorithmen bis zur Anwendung u.a. in Medizinprodukten
• Mitarbeit in der technischen Entwicklung von in vitro Diagnostika (IVD) als Apps auf der bestehenden Produktplattform
• Projektleitung: Planung, Koordination und Erstellung von wissenschaftlichen Studien im Life Science Bereich
• Mitarbeit im Qualitätsmanagement, Sicherstellung der Einhaltung der regulatorischen Anforderungen in der technischen Entwicklung von Medizinprodukten (ISO 13485, CFR 820, MPG)
• Betreuung externer Kooperationen im Rahmen von Forschungsprojekten
• Mitgestaltung bei Produktstrategien
• Mitarbeit in anderen Unternehmensbereichen, z.B. Qualitätssicherung und Produktmarketing

Ihr Profil:
• Sie verfügen über einen sehr guten naturwissenschaftlichen Studienabschluss (z.B. Physik, Biologie, Chemie, Biotechnologie) im Idealfall mit Promotion
• Solide, mehrjährige Erfahrung in der Anwendung statistischer Verfahren in der Medizin bzw. Biologie und sehr gute Kenntnisse im Umgang mit Statistiksoftware (z.B. Matlab, R, oder ähnliche)
• Persönlich punkten Sie mit einem hohen Maß an Flexibilität, Eigeninitiative, Selbstständigkeit sowie Team- und Kommunikationsfähigkeit
• Programmierkenntnisse in Visual Studio (C#) und Javascript sind von Vorteil
• Eine selbständige, strukturierte und proaktive Arbeitsweise zeichnen Sie ebenso aus wie Enthusiasmus für Forschung und Entwicklung in einem internationalen Umfeld
• Gute Englischkenntnisse runden Ihr Profil ab

Wir bieten:
Eine selbstständige, verantwortungsvolle und herausfordernde Tätigkeit mit innovativen Produkten. Dazu gehört ein offenes Betriebsklima mit großen Freiräumen für eigenverantwortliches Arbeiten in einer angenehmen kollegialen Atmosphäre. Die Stelle ist in Vollzeit und unbefristet.

Haben wir Ihr Interesse geweckt?
Dann überzeugen Sie uns durch Ihre Persönlichkeit. Senden Sie uns Ihre online-Bewerbungsunterlagen unter Angabe Ihres frühestmöglichen Eintrittstermins inklusive Gehaltsvorstellung an: Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!

Zwei Wiss. Mitarbeiterin/Mitarbeiter-Stellen

In der Arbeitsgruppe von Prof. Dr. Kay Hamacher sind ab dem 1. Januar 2016

Zwei Wiss. Mitarbeiterin/Mitarbeiter-Stellen (je 65%)

in auf 3 Jahre befristeten Arbeitsverhältnissen zu besetzen. Die Finanzierung geschieht im Rahmen der Schwerpunke
„Ionenleitenden Nanoporen" (iNAPO) und „Computational Design of Genetic Circuits“ (CompuGene) der hessischen Landes-
Offensive zur Entwicklung Wissenschaftlich-ökonomischer Exzellenz (LOEWE).

Arbeitsschwerpunkte:
iNAPO: Biophysikalische und strukturbiologische Simulationen zum computer-basierten Design von Nanoporen und
Proteinkomplexen
CompuGene: Biophysikalische und strukturbiologische Simulationen zum computer-basierten Design von niedermolekularen
Substanzen zur Modulation von RNA/Ribozym-Strukturen

Anforderungsprofil:
Abgeschlossenes Studium der Physik, Informatik, Bioinformatik, Physikalischen Chemie oder eines ähnlichen Studiengangs.
Idealerweise haben Sie bereits Erfahrungen in einem oder mehreren der folgenden Gebiete:
· Computational Physics
· Statistische Mechanik
· Scientific Computing
· Simulationstechniken, insbes. Molecular Dynamics
· Dynamic and/or Functional Programming

Gelegenheit zur Vorbereitung einer Promotion in Physik oder Informatik (je nach Studienabschluß) wird gegeben.

Das Erbringen der Dienstleistung dient zugleich der wissenschaftlichen Qualifizierung der Bewerberin/des Bewerbers.

Die Technische Universität Darmstadt strebt eine Erhöhung des Anteils der Frauen am Personal an und fordert deshalb besonders
Frauen auf, sich zu bewerben. Bewerberinnen oder Bewerber mit einem Grad der Behinderung von mindestens 50 oder diesen
Gleichgestellte werden bei gleicher Eignung bevorzugt. Die Vergütung erfolgt nach dem Tarifvertrag für die Technische
Universität Darmstadt (TV - TU Darmstadt).

Ihre Unterlagen (Lebenslauf, Zeugniskopien, idealerweise Angabe von 2 Referenzpersonen) schicken Sie bitte an:
TU Darmstadt, Prof. Dr. Kay Hamacher, Schnittspahnstr. 10, 64287 Darmstadt oder elektronisch (nur als PDF, nur eine Datei) an
Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!

Für vertrauliche Zusendung verwenden Sie bitte Herrn Hamachers PGP/GPG-Key mit dem Fingerprint
88DD E58F A0F4 95A9 F825 BB55 506E ACA6 5092 F411

Kenn.-Nr. 377
Bewerbungsfrist: 10. November 2015

Georg Lichtenberg professorship (W2) application in bioinformatics and statistical genome research

The Hannover Medical School (MHH) invites proposals for a
Georg Lichtenberg professorship (W2) application in bioinformatics and statistical genome research.

The appointment will be in close cooperation to the Research Core Unit “Next Generation Sequencing” (http://www.mh-hannover.de/ngs.html) at the MHH. It is planned to build a CentralCore Unit “Bioinformatics and Nucleic Acid Analysis” where the applicant should participate.The successful applicant has an excellent record of publications and academic achievements instatistical genome research and bioinformatics, particularly in the analysis of data from variousnext generation sequencing platforms and applications. Pertinent experience with programminglanguages (e.g. Perl, Java) is expected.

If accepted by the Volkswagenstiftung, the applicant will be funded for 5 years with a GeorgLichtenberg professorship. A tenure at the MHH is intended after an evaluation at the end of thisfunding period.

As the aim of the Georg Lichtenberg professorship stipend is to support outstandingly qualifiedyoung researchers, the applicants’ doctorate should have been obtained within the past sevenyears. For further details please refer to:http://www.volkswagenstiftung.de/nc/en/lichtenberg-professorships.html

Applicants are requested to send a concept of a highly innovative, cutting-edge research projectto be realized within the scope of the Stipend (maximum of 1000 words), supplemented by a fullCV and a complete list of publications by November 15th, 2015 toDiese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!

After an internal evaluation at the MHH, ending January 18th 2016, the successful applicant willbe asked to submit (in cooperation with the MHH) a final application with his envisagedresearch project until June 1st 2016 to the Volkswagenstiftung.The Hannover Medical School encourages applications from women. Severely handicappedapplicants with identical qualifications will be given priority consideration.

As representative for the Research Core Unit “Next Generation Sequencing”

Prof. Dr. Thomas Illig
CEO and Head of Hannover Unified Biobank (HUB)
Hannover Medical School (MHH), OE 9160

Four year PhD position within Functional Bioinformatics at Örebro University, Sweden

We seek to use, re-combine and further develop methods for data integration, statistical learning, network biology and statistical bioinformatics. Diagnostic and predictive biosignatures for gastrointestinal dysfunction, mainly IBS and IBD, are in the focus of this position, filtered from clinical, molecular and microbial profile data. Data are mainly from our local cooperations partners, medical doctors and biomedical researchers within the international research environment Nutrition-Gut-Brain Interactions Research Centre (NGBI, see link below). Methodological development in bioinformatics is run together with partners at Swedish, Norwegian, German, and English Universities. The planned focus is on NGS and OMICs data analysis in combination with statistical learning for biosignature mining.

The candidate needs to have a strong computational biology background, alternatively computer science, or mathematics combined with programming/scripting skills. NGS data analysis experience is of advantage. Daily communication with our experimentally working partners on international level makes strong communication skills necessary. Prior education in bioinformatics, computer science or related fields is a merit.

Application DEADLINE: October 30th

(Three paper copies necessary! See job announcement link below for details.)

Please contact:
Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!
Bioinformatics Research Group at Örebro University:
Homepage Assoc. Prof. Dirk Repsilber:

NGBI research environment:

http://www.oru.se/English/Research/Research-Environments/Research-environment/MH/Nutrition-Gut-Brain-Interactions-Research-Center/

Job announcement, details and further links for application:

http://www.oru.se/english/vacancies/?rmpage=job&rmjob=1583&rmlang=UK

 

WMA (Drittmittel) im Bereich "semantische Datenintegration" gesucht

Wir suchen an der Universität Leipzig (Prof. Dr. E. Rahm) baldmöglichst eine/n

                  Wissenschaftliche/n Mitarbeiter/in

zur Forschung zur semantischen Datenintegration

                    ( E-13, befristet auf 3 Jahre) 

 Aufgaben:

Mitarbeit und Forschung im Themenbereich der semantischen Datenintegration und Ontologien, insbesondere für biomedizinische Anwendungen. In der Forschung sollen neue Methoden zur automatisierten Bestimmung und Pflege von semantischen Annotationen, also Verknüpfungen (Links) zu Ontologien, entwickelt werden. Dabei sind  insbesondere kontinuierlichen Änderungen in den Ontologien Rechnung zu tragen. Die Methoden sollen auf Realweltdaten, u.a. aus dem Bereich der Biomedizin (z.B. elektronische Patientenakten oder medizinische Fragebögen),angewendet und evaluiert werden.

Es besteht die Möglichkeit zur Promotion.

Die Arbeiten erfolgen vorrangig im Rahmen eines DFG-Projekts zur semantischen Annotation von Informationen und deren Evolution (in Kooperation mit einem Forschungspartner in Luxemburg). Ferner ist ab 2016 eine Beteiligung an einem BMBF-Projekt zur integrativen Datensemantik in der Systemmedizin vorgesehen (in Kooperation mit der medizinischen Fakultät). Einstellungsvoraussetzung ist ein mit überdurchschnittlichem Erfolg abgeschlossenes Hochschulstudium in einem Informatik-Studiengang (Diplom, Master).

Wir erwarten darüber hinaus von Ihnen

- sehr gute Datenbankkenntnisse

- sehr gute Kenntnisse im Entwurf und der Realisierung web-basierter Informationssysteme

- sehr gute Englisch-Kenntnisse in Wort und Schrift

- hohes Interesse an Forschung, insbesondere an einer Promotion

- Interesse an biomedizinischen bzw. klinischen Fragestellungen.

 

Bewerbungen sind mit den üblichen Unterlagen bis zum 15. November 2015 an Prof. Dr. Erhard Rahm (vorzugsweise per E-Mail) zu richten. Schwerbehinderte werden zur Bewerbung aufgefordert und bei gleicher Eignung bevorzugt berücksichtigt.

Kontakt / Informationen:

Prof. Dr. Erhard Rahm

Institut für Informatik, Universität Leipzig

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

Dr. Anika Groß, E-mail: Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!

Weitere Informationen   unter: http://dbs.uni-leipzig.de 

Research Group Leader (f/m) Image Analysis at IPK Gatersleben

The Department of Molecular Genetics the IPK looks for a

Research Group Leader (f/m) Image Analysis

The position is open immediately and is initially available for up to five years (employment is valid in compliance with the provisions of the law WissZeitVG). After this period and positive evaluation, a permanent position will be offered.
 
Within the research focus areas of the Molecular Genetics Department, vegetative growth and seed formation, the research group Image Analysisdevelops procedures and implements analysis pipelines for automatedprocessing of 2D and 3D plant images acquired through the use of the high throughput platforms of the institute. Theprimary image data are collected using various devices and sensors installed in the established and further expanded plant phenotyping facilities. Their individual and integrated analysis (including pre- and post-processing) is performedto derive information on features of plant growth, development, and function. The group is involved in collaborative large-scale investigations of plant performance in varying environmental conditions and towards linking genetic with phenotypic variation. 
 
Your tasks:
As research group leader you carry out independent and internationally highly visible research within the frame of the goals of IPK and the Department Molecular Genetics. You instruct and guide the members of your group and you raise third party research funding. In addition, youare involved in andsupport institute- and department-wide research initiatives.
 
Please find more information at