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policy. Dr. Kang’s research laboratory is focused in personalized testing pathways, translation of diagnostic innovations, and cancer screening. We develop predictive models, simulation frameworks, and AI
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project requires developing the SBI framework including simulations as forward models of observables, performing inference on synthetic datasets and robustness tests, and applying the developed methods
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combine density functional theory (DFT), molecular simulations, and machine-learning force field (ML-FF) development to uncover the factors controlling NHC–surface interactions and to model realistic
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-physics TCAD simulations aimed at efficiently modeling charge transport, Joule heating mechanical deformations and ion migration in electronic devices such as MOS transistors and NAND memories
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in Quantum Optical Physics: Theoretical, Simulation, Modeling for Experimental Design Title: Postdoctoral Fellow, physics Appointment Status: Non-tenure track Department: Department of Physics, Indiana
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Simulations (INMA, Zaragoza) Build and maintain software infrastructure for modeling quantum systems with machine learning tools. Investigate neural-network-based representations of many-body quantum states
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, graph neural networks, physics-informed ML) to approximate PF results Train models using simulation results generated from conventional power flow solvers Evaluate AI-based approximators in terms
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Position in Quantum Optical Physics: Theoretical, Simulation, Modeling for Experimental Design Title: Postdoctoral Fellow, physics Appointment Status: Non-tenure track Department: Department of Physics
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About the Role Post-doctoral research associate in Modelling X-ray Spectroscopies for the Nuclear Fuel Cycle working with the Oakley group, Department of Chemistry, School of Natural Sciences
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faculty Position Location: Taipei, T'ai-pei, Taiwan [map ] Subject Areas: Atmospheric Science Modeling & Simulation Climate Change Climate Science Appl Deadline: 2026/03/31 11:59PM ** (posted 2026/01/25