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team member to assist with the analysis of mass spectrometry data from cancer proteogenomics studies. This individual will contribute to the maintenance and development of existing computational tools
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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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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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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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. 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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, implements, and maintains data collection systems and strategies. 3. Performs statistical analysis and apply data mining techniques. 4. Develops algorithms and design experiments to merge, manage, interrogate
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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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learning algorithms for a variety of predictive analytics research projects. Coordinates data collection, econometric analysis and provides quality assurance for research projects. Contributes to research
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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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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