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modeling, optimal power flow (OPF), surrogate modeling, and data-driven analysis of large-scale electric power system simulations on DOE leadership-class computing resources. The candidate is expected
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
biomanufacturing, elucidating metabolic dysregulation in human diseases, and innovating metabolomics and fluxomics technologies. The successful candidate will drive the construction of novel strains/pathways
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on the development of a calibrated agent-based HIV epidemic simulation representing populations in the U.S. South. The model will incorporate realistic network structures, behavioral dynamics, treatment uptake and
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, and post hoc support for laboratory studies and provide the substrate necessary for artificial intelligence (AI) guided experimental design and optimization of scarce/costly resources, such as animal
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to post-process characterization. This environment enables the creation of high-fidelity digital twins and AI-ready datasets that support real-time monitoring, predictive modeling, and process optimization
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provide the substrate necessary for artificial intelligence (AI) guided experimental design and optimization of scarce/costly resources, such as animal models. As AI capabilities advance, the computational
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position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We
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integrating literature, in-house, and newly generated experimental data Build surrogate and predictive models that connect composition, molecular structure, synthesis and processing conditions, morphology, and
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Qualifications PhD in Civil Engineering, Mechanical Engineering, Applied Mechanics, Materials Science, Physics, or a closely related field by the start date. Strong background in solid mechanics, structural
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( Nature 2024 , JACS 2026, Nature Protocols 2026). The proposed data rich experimentation will connect chemical structures to optimal reaction conditions. A competitive candidate will have a background in