1,132 parallel-computing-numerical-methods Postdoctoral positions in computer-science
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 6 hours ago
candidates to apply to the DOE Science, Technology, and Policy (STP) Fellowship Program via the U.S. Department of Energy's (DOE) Workforce Readiness Accelerator for Major Projects (RAMP) program under the DOE
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, etc. - ML-augmented numerical method development. - High-performance computing (HPC). - Quantum algorithm design. - Error correction or error mitigation. City
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activities in which applicants have participated, beginning with the most recent. Special Skills and Abilities: List professional/technical skills and abilities that are relevant to this program. Submitted
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mammals, with the goal of revealing new mechanisms of gene regulation and cellular signaling. Position Overview The successful candidate will develop and apply advanced computational methods to identify
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The Applied Mathematics and Computational Research Division at Lawrence Berkeley National Laboratory (Berkeley Lab) is seeking a Postdoctoral Researcher – Scientific Machine Learning & Computational
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We invite applications for a 2-year Postdoctoral Research Associate position in Nucleic Acid Computing and Molecular Programming in the laboratory of Dr Gamze Gursoy at the University of Cambridge
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be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and Stochastic Optimal Control”. Background or expertise in one or more of the following
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- 21:59 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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understanding of data quality, reproducibility and robust analytical practice. Experience of SQL, cloud-based or high-performance computing environments, and Bayesian methods would also be valuable. Beyond
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modelling and partial differential equations; • an understanding of Carleman linearisation approaches and/or the Koopman–von Neumann formulation; • the ability to develop and analyse numerical methods