71 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" positions at Nature Careers in Germany
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the Medicine, Dentistry, and Midwifery degree programs. The successful candidate must have an excellent doctorate, outstanding academic achievements, and experience in acquiring competitive third-party funding
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related field experience with numerical models and/or large observational datasets strong skills in scientific programming (e.g. Python, Fortran, or similar) ability to work independently and in
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websites. Application Process Applications for both programs must be submitted online by January 14, 2026: https://www.uni-goettingen.de/de/application/556704.html Applicants will be asked to upload a CV
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analysis is expected; familiarity with scientific programming environments (e.g. Python, R, or similar) is highly desirable interest in policy-relevant science and sustainability frameworks strong motivation
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analysis is expected; familiarity with scientific programming environments (e.g. Python, R, or similar) is highly desirable Interest in policy-relevant science and sustainability frameworks Strong motivation
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available PhD programs, with three years funding, in collaboration with the University of Göttingen. Master’s students aiming at a fast-track PhD are also welcome. The Postdoc position is limited to two years
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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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(TVöD Bund) includ-ing the usual social benefits, i.e. 30 days of vacation, annual bonus, company pension plan with the Versorgungsanstalt des Bundes und der Länder (VBL). • In-house support for
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(https://www.cliccs.uni-hamburg.de/about-cliccs/cliccs-ll.html ). In CLICCS-M4, we are further developing the unique ICON-Coast model within the ICON Earth System Modelling Framework. The objective
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in the Medical Life Sciences program Complete your PhD at Kiel University (CAU), with a doctoral degree awarded either through the Faculty of Engineering or the Faculty of Mathematics and Natural