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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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regularly present research findings Skills in materials chemistry, actinide chemistry, theoretical chemistry, high-performance computing, and programming are beneficial. We offer: We offer a position with a
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professorships). The teaching load is 9 contact hours per week (German: 9 Semesterwochenstunden). Duties: Representation of the field of Computational Linguistics in teaching (9 contact hours per week) in all
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part of an international team Desired Qualifications Familiarity with cloud computing platforms and large-scale data processing German language skills Publications in computer vision or machine learning
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Bonn, Medical / Mathematical and Natural Sciences Faculties; German Center for Neurodegenerative Diseases (DZNE) Description: The Research Training Group (RTG) “Development and epileptogenesis
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The German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE) is a member of the Leibniz Association. The institute’s mission is to conduct experimental and clinical research in the field
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Postdoc (f/m/d) on Generative AI for de Novo Protein Design / Completed university studies (PhD) ...
, PyTorch # Mandatory experience with High-Performance Computing (HPC) cluster environments and the Slurm cluster environment is required # Communication skills in English and in a professional context
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Bayesian computational statistics, differentiable programming, and high-performance computing, the project aims to deliver robust, interpretable, and scalable methods for metabolic flux analysis. You will