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. Experience with data analysis using language models is beneficial. Experience in the usage and configuration of Linux-based systems. Very good programming skills in Python. Knowledge of another programming
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, environmental and/or ecological sciences ability to work with large environmental and ecological data sets, incl. empirical, remote-sensing and simulated model data knowledge in programming languages (UNIX, C
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the Fellows4Fungi programme at the Leibniz-HKI (Jena, Germany). Fellows4Fungi - Exploring fungal pathogens within unexplored microbial networks is an international postdoctoral programme co-funded by the Marie
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remuneration in accordance with TV-L provisions based on personal qualifications, with an annual bonus, capital-forming benefits, and a company pension plan (VBL) a contribution toward a job ticket a family
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programming, ideally also in C or C++ (the language of the LPJ-GUESS model) Documented ability to publish in high/quality scientific journals Very good communication skills in English We Offer Access
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position, it is funded for up to 24 months, as a PhD positionfor 36 months. Remuneration is in accordance with the German public tariff scheme (TV-L Brandenburg), salary group E 13 (75% PhD position, 100
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The German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE) is a member of the Leibniz Association. The institute’s mission is to conduct experimental and clinical research in the field
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As the German National Library of Science and Technology, our future-oriented services ensure the infrastructural requirements for a high-quality supply of information and literature for research in
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methods Ability to work in a team International experience Good written/spoken English skills Experience in interdisciplinary collaboration Further information: For questions, please contact Prof. Dr
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Excellent oral and written German and English language skills Basic knowledge of the German education system Ability to cooperate in an interdisciplinary team and to autonomous working We offer Working in