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: Proficiency in Python, PyTorch, JAX, or other ML frameworks - Computing: Experience with large-scale datasets, parallel computing, and GPUs/TPUs. - Algorithm Development: Ability to develop and optimize Machine
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Environment, Nature Conservation, Nuclear Safety and Consumer Protection (BMUV), as well as the Federal Foreign Office. Programme information (PDF, 116 KB) Programme information for postdocs (PDF, 117 KB
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parallelization. Topic During this postdoc project, you will develop innovative approaches that combine ROM, ML, in data-driven computing solutions to transform how we tackle computationally intensive problems
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Start your online application or continue your application in "My Humboldt" Apply online Continue application Research Fellowship for highly qualified postdocs from Germany The Japan Society for
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supports you as a highly qualified postdoc or experienced researcher from Germany in conducting your research in Taiwan – regardless of discipline. The Taiwanese NSTC funds up to two three- to twelve-month
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with hosts in other countries. Programme information for postdocs (PDF, 132 KB) Programme information for experienced researchers (PDF, 138 KB) Search for potential hosts in the Humboldt Network (German
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launched the CAPES-Humboldt Research Fellowship Programme. As a fellow, you will benefit from individual support from the Humboldt Foundation and our diverse sponsorship portfolio. The Alexander von Humboldt
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Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country France Application Deadline 10 Mar 2025 - 23:59 (Europe/Paris) Type of Contract Temporary Job Status Full-time Hours Per Week
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with implementation machine learning methods and development of high-performance scientific software with CPU and GPU parallelization, knowledge of LAMMPS. 2. Computational investigations of catalytic