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studies Monte Carlo simulation and/or statistical software or package development (e.g., R, Stata) Multilevel modeling (MLM), difference-in-differences (DID), or comparative interrupted time series (CITS
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theoretical and computational soft-matter physics and biophysics. The successful candidate will work primarily with Dr. Matej Kanduč on research topics related to molecular dynamics (MD) simulations
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with an engineer to deploy controlled experiments and collect well-being dimensions. Activities - Formal modeling of well-being - Implementation of enriched student simulator - Development of multi
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of Campus Security Policy and Campus Crime Statistics Act. A hard copy can be obtained from one of the Campus Safety Offices. Please contact any of the Campus Safety Offices for any questions. https
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and time-varying performance through quantitative comparison with analytical modeling and full-wave simulation results. This position is part of the MetaTune Doctoral Network "Reconfigurability using
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. This includes conducting finite element modeling, ship resistance and stability assessments, as well as overseeing AM process and reporting. The role also involves designing and validating connectors
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 9 days ago
Department of Pharmacology at the University of North Carolina – Chapel Hill (https://www.med.unc.edu/pharm/directory/yinglong-miao/) is looking for a highly motivated Postdoctoral fellow to work
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 8 days ago
Department of Pharmacology at the University of North Carolina – Chapel Hill (http://miaolab.org ) is looking for a highly motivated Postdoctoral fellow to work on accelerated molecular simulations and AI
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The Postdoctoral Researcher will join a new interdisciplinary project developing an AI-augmented decision science platform to understand and model high-stakes human judgments. This position will be jointly mentored
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Vision–Language–Action (VLA) models for tabletop and mobile manipulation. A key focus is leveraging whole-body, humanoid-style motion to improve perception and control, enabling robots to solve complex