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algorithms in extremely complex and enormously large spaces motivated by physics and chemistry Developing interpretable AI for scientific discovery in physics (example here ) Formal mathematics (using Lean’s
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This position is ideally suited to someone wishing to transition from a post-doctorate career in academia to commercial software and algorithm development. You are not expected to be an AI expert
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data and analyzes outcomes. Performs research on current and future HPC, data, and CI technologies, hardware and software. Works on algorithm development, optimization, programming, computer
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, machine learning, and high-performance computing. Experience in leading the development of new math and algorithms for extracting rotational dynamics from correlation spectroscopy and reconstructing 3D
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. The focus will be on developing algorithms and techniques that optimize beamforming performance to enhance signal acquisition, tracking robustness, and interference mitigation. Benefits Our commitment
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to their spin properties. What you will do You will program the connection of quantum experiments to an existing HPC system for the external execution of quantum algorithms. You will develop an efficient user
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and analyzing large-scale national datasets (e.g., All of Us, CMS), preparing data for NIH- and federally funded studies, and applying advanced statistical and machine learning techniques to informatics
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computer architectures and deliver them as user-friendly software to meet DOE experimental facility needs. What You Will Do: Develop new mathematical theory, algorithms, and code for determining
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to undertake research in computational protein design. This will involve developing molecular simulation methods to optimise sequences for a variety of design tasks. Ensemble reweighting and alchemical
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work with researchers on the DASS programme to develop and promote freely available software, implementing new statistical methods and algorithms for identifying anomalous structure in stream settings