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Field
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external) provides algorithmic and data-driven solutions providing fairer access to public educational resources. The lab enables school districts to optimize large-scale equitable resource allocation
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discovery machine for unlocking the secrets of the "glue" that binds the building blocks of visible matter in the universe. The machine design is based on the existing and highly optimized RHIC Ion-Ion
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models, with a strategic trajectory toward integrating proton-based FLASH capabilities. The successful candidate will play a key role in the delivery, optimization, and evaluation of FLASH RT, working
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development/engineering skills. · Mathematical proficiency, with a focus on subjects including linear algebra, vector calculus, optimization, and statistics/probability. TO APPLY: Please visit https
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Systems will participate in the research efforts of developing systems integration, analysis, design, control, and/or optimization models and algorithms for smart energy systems to enable smart and healthy
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metabolomic studies. Complete the assigned work in time. Complete complex research projects at different stages (advanced through nearly completed). Formulate, troubleshoot and optimize research methods and
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The ability to develop the mathematical equations which govern a given dynamic systems' physicochemical, reaction kinetics, or transport phenomena The ability to formulate and solve mathematical optimization
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involves designing and executing experiments, managing multiple projects, and collaborating with research teams. Key responsibilities include conducting field research, optimizing analytical methods
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for metric-valued (including functions, distributions) data analysis, optimal transport and gradient flows, and deep learning. A Ph.D. in Statistics, Mathematics, CS/EE (with a focus on statistics/machine
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 9 days ago
training for study personnel in Malawi. Primary responsibilities include assay development and experimental execution including assay optimization, sample processing (collected from ongoing cohort study in