37 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" 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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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
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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 | 3 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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well as a family-friendly corporate policy Extensive further development opportunities, e.g. through an extensive range of training courses; a structured program of continuing education and networking