37 computer-programmer-"https:"-"CNR" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at BIOMEDICAL SCIENCES RESEARCH CENTRE "ALEXANDER FLEMING" in Germany
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. Postdoctoral researchers are expected to teach one course per term as part of the institute’s training program (co-teaching is possible). The successful candidate is also expected to actively seek collaborations
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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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Science Initiative, and the National Research Data Infrastructure (NFDI MatWerk, FairMat). The professor is expected to develop an internationally visible research program linking artificial intelligence
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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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with a track record of intense mutual collaboration Structured PhD-training programme with a wide range of and professional development opportunities A respectful and appreciative work environment within