39 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" scholarships 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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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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(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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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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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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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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collaborators within WHIRLS. Qualification Required: Completed master studies in oceanography, marine sciences, climate science, or another related field Experience in the analysis of data sets using programming