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Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | about 17 hours 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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expertise in developing and training machine learning models (ideally with a focus on LLM), high-performance computing, data management, and software architecture Strong Python programming skills and
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appointed by the AI Fellows and shared across the program Access to different IT infrastructures, including Charité, BIH and Helmholtz high- performance computing infrastructures An annual budget for research
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Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | about 11 hours ago
research groups, and the application procedure, please visit the IMPRS website . The ACR and CRA research divisions at the AEI in Potsdam operate three high-performance compute clusters to model
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technical facilities for your work, ranging from high-performance computing and advanced imaging platforms to specialized experimental facilities. Networking and exchange: You will participate in
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Paderborn University is a high-performance and internationally oriented university. Within interdisciplinary teams, we undertake forward-looking research, design innovative teaching concepts and
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Work group: ATLAS Area of research: Scientific / postdoctoral
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Max Planck Computing and Data Facility (MPCDF), Garching | Garching an der Alz, Bayern | Germany | 21 days ago
sizes and advanced learning paradigms In addition, you will serve as a key contact person for researchers at the MPI-CBS, supporting them in efficiently leveraging the high-performance computing (HPC
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Paderborn University is a high-performance and internationally oriented university. Within interdisciplinary teams, we undertake forward-looking research, design innovative teaching concepts and
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on performance and project needs. **Qualifications** • For Doctoral Candidates: Master’s degree in Computer Science, Information Systems, or Mathematics. **Applicants must demonstrate:** • An excellent academic