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functions of soil food webs in forests dominated by different mycorrhiza types (ecto- and arbuscular myсorrhiza). The position is linked to the Emmy Noether project “Soil food web control of the carbon cycle
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experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical and machine learning methods in the context of biological systems Experience with programming (e.g
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to perform theoretical physics research at the interface of quantum information, condensed matter and high-energy physics. A strong background and interest in one or more of the following topics is desirable
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should have demonstrated in-dependent experience in designing and carrying-out ethnographic fieldwork, and in qualitative data analysis. - Experience with participatory design or participatory
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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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Boltzmann Methods. Candidates should have an interest in applied mathematics, programming experience, and a passion for a practice-oriented project involving real data and applications. Specific tasks within
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further opportunities for interdisciplinary training. For more information about the research and study program, visit: https://www.lai.fuberlin.de/en/temporalities-offuture/index.html Job description
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application-inspired. To strengthen the Department Data Science in Bioeconomy, we are offering the following positions Two Postdoc Positions (100 %) in the Field of Artificial Intelligence. Together we develop
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will be required to submit personal information. Please be sure to refer to the respective Privacy Policy of each institution. By submitting your application, you confirm that you have read and
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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