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candidates working in formal methods and/or computer systems with interests in one or more of the following areas: machine-checked verification of systems software, GPU kernel semantics and verification, and
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laser arrays Optimization and acceleration of existing simulation codes Parallel computing and high-performance computing (HPC) GPU acceleration, where appropriate Development of scalable numerical
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to Search Postdoctoral Research Associate - Extreme NLO Interactions in Semiconducting Materials Posting Number req27178 Department James C Wyant Coll Optical Sci Department Website Link https
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pipelines). Familiarity with high-performance computing (GPU, CUDA, Slurm, etc.). Notions of full-stack software development or a willingness to develop these skills. You possess strong problem-solving and
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plant genomics and AI. Computational ressources, including the GenomeDK high-performance computing cluster, with growing capabilities such as high-memory nodes and state-of-the-art GPUs
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. Design and optimize computational frameworks for high-performance simulation of reacting flows and battery safety phenomena on modern GPU architectures. Conduct research in related areas of battery
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collaborators and strong access to compute through national GPU systems (NAISS, e.g. Berzelius and Arrhenius) and local GPU infrastructure. Project description The position offers significant scientific freedom
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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 Are you interested in working with
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
perturbative matching. Experience with lattice QCD software frameworks (e.g., Chroma, QUDA, Grid) and GPU computing. Experience with statistical analysis of large Monte Carlo datasets, including inverse-problem
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website: https://www.esa.int/ Field(s) of activity/research for the traineeship Main objectives of the Research Fellowship Cognitive cloud computing in space (3CS) is emerging as a key paradigm for future