598 computational-physics "https:" "https:" "https:" "https:" "U.S" PhD positions in Germany
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either English or German. Some additional courses may be in German. Some events, such as internal lab meetings, etc., may also be in German. Programme duration 6 semesters Beginning Only for doctoral
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available in the further tabs (e.g. “Application requirements”). Programme Description The Heinrich Böll Foundation is the Green political foundation. Every year, under the heading "promoting talent
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extensive server infrastructure for research Excellent training and career support opportunities (courses, personal coaching, ...) Your qualifications Master’s degree in Computer Science, Computational
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can also be written in English. The RTG uses English as its main language. Full-time / part-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application
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bridging physics and engineering with chemistry, biology and medicine there are highly diverse opportunities to innovate, collaborate and excel. We support career development, continuing education and
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environment at the University of Kassel. Its offers are open to all academics and artists in the qualification phase at the University of Kassel. Further training / transferable skills Kassel Graduate Programme
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competences of the faculty and research team members at the ETH Zurich in Switzerland ideally complement the competences in natural sciences and computer science at the Max Planck Institute for Intelligent
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Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong knowledge in Machine/Deep Learning with experience in discriminative models, adversarial attacks, and
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with team members and colleagues. Essential qualifications: M.Sc. in Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong knowledge in Machine/Deep
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“Stability and Solvability in Deep Learning”. This project focuses on mathematically analyzing machine learning algorithms with a particular focus on questions of stability, computability, and robustness