6,453 parallel-computing-numerical-methods-"Simons-Foundation" Postdoctoral positions
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following areas: Mathematical Analysis/ Numerical Analysis/ Theoretical Machine Learning Please note: Applications from candidates with degrees in other disciplines (e.g., Computer Science, Engineering) will
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Balancing selection is a form of natural
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physics (HEP) detectors, neuromorphic computing, FPGA/ASIC design, and machine learning for edge processing. The successful candidate will work with a multi-institutional and multi-disciplinary team
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to improve reactor design and synthesis performance. Key Responsibilities: Develop comprehensive computational models for fluid dynamics, mixing, and reaction kinetics in the CSTR. Implement advanced numerical
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starting on, or after, 7/01/2026. The position is to be offered jointly with the Center for Computational Astrophysics (CCA) at the Simons Foundation Flatiron Institute in New York City. The successful
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computational physics, computational materials, and machine learning and artificial intelligence, using the DOE’s leadership class computing facilities. This position will utilize methods such as finite elements
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Deadline 6 Nov 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by
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3 Dec 2025 Job Information Organisation/Company INSA Strasbourg Research Field Computer science » Computer systems Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country
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biology to pioneer research in immunology using single-cell and spatial transcriptomics data. The focus will be on development of novel computational methods for gaining fundamental insights into healthy
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subject area for this position is medicine, specializing in computational metabolomics and exposomics, with primary focus on processing and analysis of metabolomics and exposomics data, covering both method