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Field
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research projects involving large administrative claims, EHR, survey, or clinical trial data. Collaborate with external collaborators in implementing machine learning algorithms. Perform other duties as
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emphasis on questions grounded in data that are generated by human activity, including computational social science (e.g., algorithmic accountability and the interplay of data science with policy, law, and
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
, or other novel/emerging pollutants - Developing / implementing advance machine learning algorithms for environmental datasets - Attention to detail and careful documentation of work products such as How
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the LabVIEW programs and Python algorithms that run those systems. Develop, review, and update standard operating procedures for Chase Lab equipment and facilities. Develop effective policies for shared use
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strategy selection, by mapping algorithmic theories of behaviour onto specific microcircuits and pathways. The applicant will use a multidisciplinary approach including in vivo imaging, high-density
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optimize algorithms for data-intensive research. Deploy and maintain systems in both simulated environments and on physical hardware. Diagnose and resolve complex system and software issues. Execute feature
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research activities, assists in preparing human subjects protocols, manages and analyzes data across multiple projects. Contributes to building traditional statistical models and machine learning algorithms
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institutes and centers. The Data and Democracy Research Lab is a unique interdisciplinary team combining expertise in mathematics, algorithm design, geospatial data, and public policy. Members of the lab
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project integrates expertise across multiple levels—from circuits and architectures to algorithms, models, and systems—and includes opportunities for radiation testing at the NASA Space Radiation Laboratory
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Learning, Theoretical Computer Science (Discrete Mathematics, Algorithms, etc.). Experience with EdTech tools, such as Ed Discussion, Gradescope, GitHub Classroom, Canvas, etc. Ability to respond on short