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through collaboration with team members conducting microbial and modeling analyses. The project will provide excellent exposure and networking opportunities for multiple career paths in academia and
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
numerical approaches (e.g., Large Eddy Simulation, Direct Numerical Simulation, multi-scale process modeling) and laboratory wave tank experiments to explore turbulent seawater dynamics adjacent to ice
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the Standard Model, particularly those enabled by novel quantum magnonics technology. Candidates should have interest and expertise in the intersections between HEP, dark matter phenomenology, condensed matter
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metabolism in model systems. ● 15% Publication and presentation of data → The postdoctoral scholar is expected to communicate their research findings through publication in peer-reviewed research journals and
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models, histology, cell culture, differential expression analyses, and molecular biology assays, our lab studies the molecular mechanisms that regulate metabolic processes and iron homeostasis both in
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specializes in neuroengineering, organs-on-chips technology, and animal models. The Research Assistant hired into this role will work closely with post-doctoral fellows and graduate students on various exciting
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dimensional models of psychopathology, personality science, borderline personality disorder and treatment outcome research would be an excellent fit with the lab’s work. We envision these positions as ideal
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modeling techniques and artificial intelligence methodologies in brain diseases. The candidate will work on developing advanced new algorithms, testing and validation, and applications in these data
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Dr. Shen Cheng and his internal/external collaborators. The research will primarily focus on implementing and developing innovative pharmacometric modeling approaches for pharmacokinetic
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application of advanced deep learning models, with an emphasis on techniques such as knowledge distillation. The candidate will engage in research involving time-series analysis, including modeling, forecasting