40 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" PhD positions at Nature Careers in Germany
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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
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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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allowance. The employment will initially be limited to three years. Important: Applicants must not have resided in Germany for more than 12 months in the past three years. Group website: https://biophys.uni
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applicants in accordance with European and German legal regulations. Further information on data protection and the processing of personal data can be found at: https://www.isas.de/en/datenschutz . The closing
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studies and related subjects to apply for the International PhD Program. PhD students are supported by a Thesis Advisory Committee, participate in scientific and professional skills courses, attend
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to support the compatibility of family and career Support for your personal and professional development through Heidelberg University's internal educational program Salary in accordance with the provisions
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payment, and company pension plan (VBL) 30 days of vacation per year, plus two additional days off on Christmas Eve and New Year's Eve Competitive, interdisciplinary, and international research environment
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Call for applications We are pleased to announce the call for the second cohort of our Graduate Programme RNAmed – Future Leaders in RNA-based Medicine. Applications are invited for 11 PhD
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science, applied mathematics, physics or a similar area very good programming skills in Python good prior experience with neural networks using common Python-ML libraries such as PyTorch background knowledge in
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Research Assistant (m/f/d) with a Ph.D. in Civil Engineering, Engineering Physics, Physics, Mathemat
., using FEniCSx) Advanced knowledge of scientific programming, preferably in Python, including experience with implementing machine‑learning methods (e.g., PyTorch) Excellent spoken and written English, as