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Field
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Familiarity with performance modeling, analysis and optimization for heterogeneous architectures. Experience with developing code for: molecular dynamics, computational fluid dynamics, or quantum chemistry
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to establish a low-emission, end-to-end pathway for converting challenging scrap streams into high-performance aluminium alloys. CLEANMAT — About the Horizon Europe Project on Clean Aluminium Material Processing
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to demonstrate and evaluate the performance of the innovative low latency and high capacity optical switched AI computer network architecture empowered by the developed photonic integrated WDM switches and
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impact? We are currently seeking a/an University Assistant (Postdoc) - Computational Communication Science 49 Faculty of Social Sciences Startdate: 15.09.2026 | Working hours: 40 | Collective bargaining
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impact? We are currently seeking a/an University Assistant (Postdoc) - Computational Communication Science 49 Faculty of Social Sciences Job vacancy starting: 15.09.2026 | Working hours: 40.00
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results in a robust biological context Ensure reproducibility, data management, and documentation of computational workflows in high-performance computing environments Collaborate closely with experts in
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research. The research team has access to more than 100 generative AI models through Cornell’s AI gateway and high-performance computing resources via Empire AI. This position provides opportunities
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DeepMD, NEXMD, i-PI, MixPI, NWChem, CP2K, or comparable packages. Experience with GPU acceleration, distributed training, high-performance computing systems, or C/C++ scientific software development
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
assignments (in English or in Dutch). You ensure high-quality education, with a clear commitment to the quality of the program as a whole. You also contribute to the pedagogic project of the university through
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scheduling algorithms for fast control and reconfiguration of the optical AI compute clusters. Realize a small-scale compute cluster lab testbed to demonstrate and evaluate the performance of the innovative