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for the combined analysis of a large number of multi-meta-omic datasets for modelling the association of gut microbial communities and clinical phenotypes. A cutting-edge Training Program for young scientists has been developed including secondments within the industrial partners of the Network. Starting date of the positions is 1st of November 2018 or soon after. The positions are for 36 months.
Your profile: A strong interest in conducting collaborative research on the topic outlined above is paramount. Candidates are expected to be interested in working at the boundaries of several research domains.
- MSc degree in Systems Biology, Computational Biology, Bioinformatics, Biophysics, Computer Science or a related discipline.
- Knowledge and experience in the analysis of biological high-throughput data.
- Knowledge in statistical methods in the context of biological systems.
- Experience with programming (Python, Perl, C++, R).
- Well-developed collaborative skills.
We offer: The successful candidates will be hosted at the SBI group of Leibniz Institute for Natural Product Research and Infection Biology, Hans Knoell Institute. We offer an international and multi-disciplinary environment with the required qualifications and a strong expertise in the proposed research field. Currently the group consists of >15 members at different levels of seniority; Post-doctoral scientists, PhD students, master students, scientific co-workers. More information for the research output of the group in the field of systems biology can be found here: http://www.leibniz-hki.de/en/systembiologie-und-bioinformatik.html
For further information:
Please contact Dr. Gianni Panagiotou | +49 3641 532 1759 | career@leibniz-hki.de
Applications
Complete applications in English should include a CV, certificates, transcripts, a brief statement of research experiences and interests, brief summary of Master’s thesis and the contact details of two possible referees, and should be submitted by September 01, 2018 via the online application system of the HKI.
