720 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:"-"https:"-"L2CM" positions in Germany
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. The fellowships are funded by the state of Lower Saxony and are part of a joint doctoral program with the state of Baden-Württemberg on the evolution of cultural modernity. Requirements for filling the positions
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structured study program with RTG lectures, lab and field courses. Your application should comprise the following: - motivation letter (maximum 1 page)- curriculum vitae- certificates of studies- summary
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Mainmenu Information for Prospective Students Current Students Staff Teaching Staff Alumni Media Business Lifelong learning Quicklinks All Degree Programs ALMA Portal Excellence Strategy Staff Search (EPV
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the use of mass spectrometry Experience in high-resolution fluorescence microscopy Very good knowledge in the application of statistical analysis procedures Basic knowledge in the use of programming
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assess consequences of changes along tropical coasts for the Earth system. The strategic extension is integrated into the interdisciplinary ZMT Programme Areas . It will enhance ZMT’s modelling
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available in the further tabs (e.g. “Application requirements”). Objective The aim of this programme is to promote artistic cooperations with German host institutions. The scholarships are funded by
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communication skills in English and motivation for independent scientific work WE OFFER: Salary according to tariff agreement, extra annual payment, and company pension plan (VBL) 30 days of vacation per year
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findings into the broader cluster program share your findings through high-impact publications and engage with the research community and public Your profile: Recruitment requirement completed scientific
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Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | 3 months ago
at the AEI in Potsdam, and they will have to enrol and receive their PhD degree from either the University of Potsdam or the Humboldt University in Berlin. The expected duration of the PhD program is three
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machine learning for imaging, ideally in biomedical or histopathological contexts Strong programming skills and deep learning frameworks Familiarity with generative models (e.g., diffusion, GANs