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-particle physics, predictive modeling, and AI-enabled digital twins for magnetically confined fusion plasmas in tokamaks. The research will combine high-fidelity simulations, reduced transport modeling
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) and contribute to LU-PCG’s research under the U.S. Department of Energy’s (DOE) GENESIS Mission. Research will involve developing fast neural surrogate models, state estimators/virtual sensors, multi
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is expected to contribute to foundational research in dynamic modeling, stability analysis, and control of coupled data center–grid systems. Emphasis will be placed on developing new theoretical
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disease modeling with Professor Thomas McAndrew in biostatistics and research water, sanitation, and hygiene (WASH) challenges in resource-constrained contexts with Professor Gabrielle String
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on the evolutionary mechanisms of chromosome segregation in mammals, using mouse oocytes, preimplantation embryos, hybrid mouse models, and/or tissue culture cells. Position Number: RC2910 Anticipated Salary: $65,000