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willingness to learn: High-performance computing (distributed systems, profiling, performance optimization), Training large AI models (PyTorch/JAX/TensorFlow, parallelization, mixed precision), Data analysis
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mathematics, physics). For Postdoc applicants: Excellent track record in computer science or engineering. Fluency in spoken and written English is required. Proficient in at least one programming language, e.g
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Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | 26 days ago
-messenger astrophysics. Our offer The researchers in the "Computational Relativistic Astrophysics" division can use high-performance computers at Max Planck Computing and Data Facility (MPCDF: https
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(FIJI/ImageJ etc.) Ability to work independently and to supervise interns and undergraduates Excellent English (in speaking and writing) and computer skills, knowledge of German is a bonus, but not
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offers a holistic approach to your well-being Develop your full potential: access to the DKFZ International Postdoc Program and DKFZ Career Service with targeted offers for your personal development
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to excellent high-performance computing facilities, measurement equipment and labs, e.g., a unique lab with variable acoustics (see demos on YouTube channel: https://www.youtube.com
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to the success of the whole institution. At the Faculty of Computer Science, Institute of Artificial Intelligence, the Chair of Machine Learning for Robotics offers a position as Research Associate / PostDoc (m/f
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Hereon in Geesthacht, near Hamburg operates the German Engineering Materials Science Centre (GEMS), a centre for synchrotron and neutron radiation materials research. Currently Helmholtz-Zentrum Hereon is
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Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | 24 days ago
-messenger astrophysics. Our offer The researchers in the "Computational Relativistic Astrophysics" division can use high-performance computers at Max Planck Computing and Data Facility (MPCDF). The salary
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activities as well as their general impacts on landscape functioning. For this strongly transdisciplinary goal we apply qualitative and quantitative approaches. A key issue of the working group is the