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) analysis Mathematical modelling Microbiology Molecular biology We approach science with the view of physics, aiming to identify principles behind complex systems. We collaborate closely with engineers
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-based modeling, and multi-omics analytics, including bulk, single-cell, and spatial transcriptomics, to uncover molecular mechanisms in cancer, immunology, and more. With a strong translational focus, the
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iterative refinement of predictive models. The clinical population ensures that multi-omics insights are directly translated into actionable models and patient-centered strategies Expected outcomes Predictive
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-channel electrophysiology •Any prior work in mathematical models of decision-making •Prior work with psychiatric patient populations or the biological mechanisms of mental illness About the Department
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 18 days ago
health and provide superb clinical care while maintaining our strong tradition of reaching underserved populations and reducing health disparities across North Carolina and beyond. Education: We will
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to launch his/her trajectory journey in basic scientific research. Supported by a new RO1 from the NIDDK, the increased prevalence of obesity in the US population continues to drive greater risk for