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against hourly wind and wave time series spanning the project lifetime, with Monte Carlo simulation over weather years and component time-to-failure. The models are currently implemented in MATLAB with
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matter, matter at ultra-high pressure, diagrammatic Monte-Carlo , topological matter. We are interested in analytical and numerical approaches to fermionic and bosonic states. Examples of collaborative
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structure methods, quantum Monte Carlo, tensor networks, or quantum embedding methods, etc. - ML-augmented numerical method development. - High-performance computing (HPC
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characterization of germanium detectors, develop advanced Monte Carlo models and AI-driven analysis tools to optimize detector response, and to promote precision medical imaging and low energy dark matter searches
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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