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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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07.08.2025, Wissenschaftliches Personal The Chair of Computational Mathematics at the Technical University of Munich (TUM) invites applications for one PhD position. The Chair of Computational
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the scientific landscape of the institute. You will be part of an innovative project in the field of High Performance Computing, with an emphasis on scientific work rather than client project work. All five team
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expertise in high-performance computing and we also use unique scientific infrastructure. Shape the change with us and join our team! HITEC (Helmholtz Interdisciplinary Doctoral Training in Energy and Climate
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Foundation Models to perform traversability inference on incoming camera images. However, a major challenge lies in the lack of extensive datasets for the different field environments and the high effort in
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(varying grinding and flotation conditions); collect and curate high‑frequency time‑series data Train particle‑based separation models (PSMs), linking micro‑structural descriptors to flotation performance
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for integrative data platforms within the triangle of the data generating (photon, neutron or ion) user facilities (PNI facilities), large scale data facilities (LSDF), high-performance computing (HPC
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | 1 day ago
(R3) Country Germany Application Deadline 30 Dec 2025 - 12:30 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Cluster of Excellence “Quantum Universe” performs research to understand
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to pursue a doctoral degree (Ph.D.). Remuneration is 100% TVL E13 according to the German public sector rates. CCBE's interdisciplinary team is performing research in the broad field of computational methods