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, neuroscience, psychiatry, and data science, contributing both methodological innovation and impactful scientific discovery. Day-to-day, the candidate will develop and apply state-of-the-art computational biology
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, informed consent forms, clinical trial agreements, and other pertinent study documents to generate a protocol calendar in the CTMS system and develop coverage analysis/billing guide. The Coverage Analyst
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-working candidate. Main responsibilities Develop and apply machine learning and statistical modeling techniques, including novel AI architectures, for the analysis of complex traits and precision prediction
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of Imaging/Image Reconstruction. The latter is broadly defined, with applications of tools from areas such as Inverse Problems, Partial Differential Equations (PDEs), Functional Analysis, or Harmonic Analysis
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not required for this position. More About This Job For more information, see https://c-brain.org . Required Qualifications: Expertise in AI/ML applied to biomedical research, life sciences, data
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Chief builds and optimizes clinical programs; ensures quality, safety, and protocol alignment; and advances divisional strategy. Core duties include program development, operational harmonization across
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working on several projects involving medical image analysis, neuroimaging, and neuroscience. This position is based in the Developmental Network Neurobiology Lab in the UF School of Medicine in
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of electrical power systems. Responsibilities Electrical Systems Engineering: Evaluates, troubleshoots, and reviews electrical power systems. Performs power system analysis including load flow and voltage drop
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
the Renaissance Computing Institute (RENCI), we use data, creativity, and inclusive teaming to revitalize how science is done. Fostering data science expertise and creating cyberinfrastructure isn’t just about
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employs a harmonized core “menu” of imaging, behavioral, and symptom measures combined with a standardized analytic pipeline applied consistently across studies, enabling biotype-based analyses and cross