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Field
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of molecular dynamics simulation and mathematical modeling. Working Environment Laboratory and research environment. About The University of Texas at Tyler and UT Tyler Health Science Center The University
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, or foundation models. Familiarity with atomistic simulations (e.g., density functional theory, molecular dynamics). Interest in developing broadly applicable machine-learning methods for physical sciences
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. The tasks include battery cell characterization and modelling based on laboratory tests, and development of algorithms for estimating the charge level, health, and power capability which includes robustness
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 12 days ago
phase kinetics and photochemistry are studied in the laboratory, producing experimentally derived parameters to drive complex computer models that simulate the atmospheric chemistry of interest
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: the process modelling and development of CO2 hydrogenation to methyl formate, and the reaction engineering and kinetic analysis of alkylamine synthesis. Your responsibilities include: Reaction optimization
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(e.g., scRNA-seq) to investigate cellular heterogeneity, host-pathogen interactions, and immune responses. Structural Bioinformatics & Biophysical Modeling: Protein structure prediction (e.g., AlphaFold
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supervision conferring with higher levels only in unusual situations. 8. Performs other job-related duties as required. The primary focus will be developing computational models; simulation and analysis
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(ABM) of mobility behaviour in Barcelona. Research Responsibilities The successful candidate will lead the development of a behavioural model that simulates how individuals make mobility decisions in
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information, applying hydrological models to simulate extreme floods, and contribute to recommendations for practice on flood design estimation. Your responsibilities: Develop and apply statistical methods
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sequestration, and watershed protection. ● Conduct ecological, hydrologic, or biomass simulations and spatial analyses to model long-term forest dynamics under climate change scenarios. ● Discuss and plan novel