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. The postdoc will develop mathematical models based on biophysical processes, in combination with available data. The postdoc will also contribute to a literature synthesis on ecosystem services in agrivoltaic
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biomarkers, clinical, and cognitive variables, genotyping and sequencing data, and MRI brain imaging data on patients with severe mental disorders. In addition, we work closely with national population cohorts
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populations and synaptic inputs Large-scale extracellular electrophysiology (Neuropixels) Biophysical modeling and construction of ML-based models Statistical analysis of single-cell and population-level
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epidemiology/ evolutionary biology and bioinformatics, with the ambition to advance global public health. In the first year, the successful candidate will incorporate models of virus evolution into mathematical
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working with genomics data sets. Prior experience working on high performance computing clusters. Prior experience with statistical and mathematical modeling and/or AI. Type Benefited Staff Special
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in projects related to simulation/mathematical/decision analytical modeling and cost-effectiveness analysis for harm reduction and other interventions aimed at preventing drug overdoses (primary focus
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 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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on developing new systems models to examine social and biological drivers of infection inequality. The overarching goal of this postdoctoral position is to advance the use of mathematical and statistical models
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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