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Field
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Performance Optimization and Data Management. The position is based at the University of Chicago and Argonne National Laboratory, working with Dr. Katie Harrington and Prof. Jeff McMahon. The successful
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– overarching goal of the research program is to define optimal cancer prevention and intervention strategies and match the right therapies to the right patients and to advance precision cancer care with real
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, and related materials. Research activities will include developing solution-based processing methods, optimizing powder mixing and dispersion, fabricating dense composites through thermal consolidation
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, enrollment, data collection, and data management. Optimizing the study protocol and internal procedures. Overseeing compliance and regulatory documentation. Monitoring participants throughout the remotely
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compliance. The optimal candidate will have a background in neuroscience, as well as a solid understanding of genetic, cell biological, biochemical, and/or molecular biology techniques. In addition
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), autonomous software infrastructures, and AI-enabled engineering systems. RESEARCH AREAS Area 1 — AI for Programming Systems Research topics include AI-assisted compilation and optimization, intelligent runtime
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Carolina is inviting applications of two postdoctoral associates in the area of mathematical foundations of data science, AI, Graph Theory, Optimization, Probability Theory in a broader sense. The candidates
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candidate will support research and development projects that advance the state of the art in machining science, machine tool design and characterization, manufacturing process optimization, and digital
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of Energy (DOE) experimental facilities. This role involves research and development spanning areas such as optimization, Fourier analysis, numerical linear algebra, statistics, machine learning, and high
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Duties Develop, apply, and analyze T-cell receptor sequencing approaches for diverse clinical cohorts. Perform and optimize molecular assays, including RT-qPCR, ddPCR, and next-generation sequencing