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exclusively in German. Full-time / part-time full-time Programme duration 8 semesters Beginning Only for doctoral programmes: any time Application deadline Please look at our website for the current application
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budget positions and the provision of extensive funds for high performance computing. The cross-sectional unit is to be managed by the professorship. Tasks The professorship is responsible for the content
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on them Work on the design, development and operation of GPU and compute cluster systems together with an interactive team Serve as the first point of contact for users for help or problem analysis and
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management activities, including financial and personnel allocations and preparation of financial and scientific reports, of intramural projects and projects externally funded by German, European and
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performance under hardware constraints, evaluating trade-offs between efficiency and accuracy Collaborate with interdisciplinary teams to adapt and optimize neural network architectures for specific hardware
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years' professional experience the chance to take a postgraduate or Master's degree at a state or state-recognised German university, and in exceptional cases to take a doctoral degree, and to obtain a
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Degree Dr-Ing Course location Stuttgart Teaching language English Languages Courses are held in English. Courses are also available in German. Participants can choose to write the doctoral thesis in
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Hint Due to serious budgetary cuts there will be no further calls for the German Chancellor Fellowship Programme. • The fellowships granted to the current cohort of Federal Chancellor Fellows 2023
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an excellent opportunity to gain hands-on experience with advanced Software-Defined Radio (SDR) devices, RF measurements with high-end measurement instruments. For highly motivated students, this work can be
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of Empirical Innovation Economics. Participating in the structured doctoral program of the Munich Graduate School of Economics (MGSE) at LMU. Contributing to exciting and highly relevant policy projects