37 computer "https:" "https:" "https:" "https:" positions at BIOMEDICAL SCIENCES RESEARCH CENTRE "ALEXANDER FLEMING" in Germany
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experiments, simulations, and materials informatics Development of sustainable materials using AI-based design strategies (AI-driven materials discovery) The professorship should strengthen and connect FAU’s
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. The professorship will be established as part of the Heisenberg Program of the German Research Foundation (DFG). The establishment of the professorship is dependent on the individual successfully applying to and
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matter properties Physics » Statistical physics Physics » Computational physics Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country Germany Application Deadline 6 Feb 2026
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are predominately held in English. Full-time / part-time part-time (study alongside work) full-time Programme duration 8 semesters Beginning Only for doctoral programmes: any time Additional information on beginning
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(„Christmas bonus“). The monthly salaries in euro can be found on the BMI website: https://go.fzj.de/bmi.tvoed.entgelt Further information on doctoral degrees at Forschungszentrum Jülich (including its
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Degree Dr Course location Nürnberg In cooperation with Institute for Employment Research (IAB) Teaching language English Languages English Full-time / part-time full-time Programme duration 6
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Leipzig, Sachsen | Germany | 2 months ago
Researcher (R1) Application Deadline 31 Mar 2026 - 16:14 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU
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gas/solid interfaces. The project is embedded into interdisciplinary and international cooperations involving partner groups from natural science and engineering ( https://www.sfb1452.research.fau.eu
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for a candidate with the potential to build a world-leading, independent research program in the field. You will be responsible for appropriately representing the field of machine learning in digital
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-based tools in water electrolysis research Collaboration with computer science, catalyst synthesis and characterization, and theory groups to optimize water electrolysis using the knowledge obtained in