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Field
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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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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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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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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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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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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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working to make the application process and our workplaces more accessible. If you need support, please get in touch - we're here to help! Contact: Please do not hesitate to contact us if you have any
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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