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). For further information: Dr. Jethro Hemmann | https://www.leibniz-hki.de/de/mnd-mitarbeiter-innendetails.html?member=1441 |+49 3641 532-1478 | career@leibniz-hki.de Application: Leibniz-HKI is proud to be
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therefore especially encourages them to apply. For further information: Please contact Dr. Slavica Janevska | https://www.leibniz-hki.de/en/epi-staff-details.html?member=1105 | +49 3641 532-1188 | career
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, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical and
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research strategy, including fundamental and applied approaches You will create, process, analyze, and interpret the research data, prepare reports, and scientific publications You will take part and present
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interactions Integrate omics approaches with microphysiological modeling Interpret data, write manuscripts, and present findings at conferences and seminars Collaborate across disciplines with engineers
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submit your application including a cover letter (explaining background and motivation), a CV and transcripts (translated to English or German, if applicable) via e-mail and as a single PDF file to
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the development of computational methods for genetics, high-throughput omics data and causal discovery. Our interdisciplinary and international team is jointly located at DKFZ and EMBL Heidelberg, and
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of Chemistry is equipped with state-of-the-art analytical, experimental, and data processing methods and is integrated into a strongly interacting and collaborating scientific environment with the Departments
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fusion energy research Work in an excellently equipped research centre with cutting-edge laboratories and on-site computer clusters No teaching requirement, you can spend your working time for research
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compiling and analyzing (geostationary) satellite datasets with km‑scale simulation data and have the autonomy to set your own scientific emphasis. As team member for the ERC Starting Grant “MesoClou”, you