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Max Planck Institute for Radio Astronomy, Bonn | Bonn, Nordrhein Westfalen | Germany | about 6 hours ago
methods in high-performance computing and real-time signal processing, which will enable reliable process data rates of 10–100 Tbit/s in the future. As part of existing and future projects, you will take
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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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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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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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, informatics, physics or a related field strong expertise in machine learning strong interest in high performance computing on CPUs and GPUs proficiency in Fortran, Python, shell scripting proficiency with Linux
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communication skills in German Familiarity with Linux computer systems What we offer MPIfR is a vibrant, international research institute with a staff of over 300, including scientific staff and students, engineers and
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instruction is English. All courses, lectures, and workshops are held in English. Participants are required to write and defend their doctoral thesis in English. Programme duration 8 semesters Beginning Winter
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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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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
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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