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3 Doctoral Research Fellowships in Systems Biology 2018, Germany

3 Doctoral Research Fellowships in Systems Biology 2018, Germany

Germany 01 Sep 2018
The Leibniz-Institute of Freshwater Ecology and Inland Fisheries (IGB)

The Leibniz-Institute of Freshwater Ecology and Inland Fisheries (IGB)

State University, Browse similar opportunities

OPPORTUNITY DETAILS

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0 $
State University
Area
Host Country
Deadline
01 Sep 2018
Study level
Opportunity type
Opportunity funding
Full funding
Eligible Countries
This opportunity is destined for all countries
Eligible Region
All Regions

The Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute – (HKI) investigates the pathobiology of human-pathogenic fungi and identifies targets for the development of novel natural product-based antibiotics. The Marie Skłodowska Curie Innovative Training Network (ITN) BestTreat is seeking highly motivated and qualified Early Stage Researchers (ESRs) for obtaining a PhD degree in the fields of metabolism, endocrinology, physiology, biochemistry, computational & systems biology, microbiology and bioengineering. The Systems Biology & Bioinformatics (SBI) group of the Leibniz Institute for Natural Product Research and Infection Biology (Germany) is coordinating the BestTreat network that consists of 7 academic and 7 industrial partners from Germany, Netherlands, Denmark, Sweden, Finland and Austria. The SBI group will recruit

3 Doctoral Researchers (m/f) Systems Biology

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.

 

 

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