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, computer science, mathematics, physics, or a related field with an outstanding academic record. Interest in mathematical signal processing, optimization, and/or machine learning is important. Since
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on the Bildungscampus Heilbronn (Heilbronn Education Campus). TUM Campus Heilbronn focuses on the areas of managing digital transformation, family businesses, and computer science. Requirements - Master’s degree in
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the following areas: PhD in mechanical/electrical engineering, robotics, computer science, or a comparable field, Experience in self-reliant managing of research projects (financial and administrative) and
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Job Announcement ref. #04-25008 For its Division River Ecology and Conservation in Gelnhausen, the Senckenberg Research Institute and Natural History Museum in Frankfurt am Main, Germany, is seeking to fill the following position Postdoctoral Researcher (ecologist) (m/f/d) (full time / minimum...
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and satellite-based remote sensing data using High-Performance Computing at LRZ Publication of the results in scientific journals Assistance in teaching REQUIREMENTS: An above-average degree in
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24.02.2022, Wissenschaftliches Personal The Munich Quantum Valley aims at developing a full quantum computing stack, from the application level to the physical quantum hardware. Within
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
control of such systems, taking particularly into account model uncertainties as well as limitations pertaining to acquisition of data, communication, and computation. We apply our methods mainly to human
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. Requirements: Completed university degree in computer science or applied mathematics, remote sensing, geophysics, physics, or related areas Expertise in computer vision and/or machine learning (deep learning
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-quantum cryptography and coded computing (1 postdoc, 1 PhD, Antonia Wachter-Zeh, antonia.wachter-zeh@tum.de) • Theory for communication systems beyond Shannon's approach (1 postdoc, 1 PhD, Christian Deppe
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computer science. It offers automatic grading and feedback of various types of exercises. The tool has been used at dozens of universities around the world (including 5 times at TUM) and graded almost a million