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Field
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data and develop data-driven methods for predicting land loss and ecosystem transitions in wetland-rich landscapes of the Gulf Coast with a focus on coastal Louisiana. This candidate will directly
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of epidemiological study design, data collection, and statistical analysis. Proficiency in statistical software (e.g., R, SAS, STATA) and data management techniques. Demonstrated experience in analyzing large
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
research, industry, or translational biomedical AI. Minimum Education and Experience Requirements A PhD or equivalent doctoral degree in Computer Science, Biomedical Engineering, Electrical or Computer
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
research, industry, or translational biomedical AI. Minimum Education and Experience Requirements A PhD or equivalent doctoral degree in Computer Science, Biomedical Engineering, Electrical or Computer
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(45%) • Support statistical analyses of large data sets from an epidemiological cohort, investigating associations with birth outcomes using both targeted and nontargeted data (25%) • Support
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, global health, and artificial intelligence-assisted systems modeling. More information about the lab and its projects is available at https://gyorilab.github.io. About Khoury College We invite you to join
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emerging methodologies. Collect, manage, analyze, and interpret experimental data using appropriate statistical approaches. Prepare manuscripts for publication in peer-reviewed journals and present findings
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cooling systems for high density data centers, with emphasis on two-phase cooling systems that involve flow boiling of refrigerants. Research topics span fundamental areas such as flow boiling in
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including neuronal spiking, local field potentials, EEG, behavior, and circuit perturbations. The goal is not merely to fit models to neural data, but to develop mechanistic frameworks that generate
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/or oceanography; or experience working with numerical simulations, large data, scientific programming, and/or machine learning. Applicants are asked to send a CV, a brief statement of research