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Field
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mobile devices and web servers to Windows and Linux programs and embedded systems. In addition to classic program analysis techniques, we also use AI approaches. We publish the results of our research
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available in the further tabs (e.g. “Application requirements”). Objective This programme promotes the exchange of North American, British and Irish students in the fields of science and engineering and
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Presentation at international conferences and workshops This scientific position offers the opportunity to pursue a PhD. What you contribute Excellent Master's degree (or equivalent) in Computer Science, Physics
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Enrollment in a full-time degree program at a German university, preferably in electrical engineering, communications engineering, or physics, with good to very good academic performance Good knowledge in
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large-scale scientific research and foundation models. The Machine Learning Science Cloud is part of the AI/ML compute ecosystem in Tübingen. Our users work on diverse research and transfer projects
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research of mobile and optical communication networks and systems, as well as in machine learning, computer vision, and the compression of digital video. Become a part of our team and join us on our journey
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Description BioHYBRITE (Decoding and designing biomolecular systems with hybrid DNA:RNA:protein nanotechnology) is funded by the Marie Skłodowska‑Curie Actions (MSCA) Doctoral Networks programme and
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childhood on economic behavior and outcomes. For example, a subproject of the DFG research group “Labor Market Transformation” is investigating the labor supply of immigrants. The teaching program is open to
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The Scientific Software Center (SSC) at the Interdisciplinary Center for Scientific Computing, Heidelberg University, aims to improve sustainability of research software and professionalization
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and GPU servers for the delivery of the PC exercises, and jointly supervising the PC exercises during the course What you contribute Student on a STEM degree programme Good knowledge of at least one of