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-resolution groundwater model that represents the region’s complex palaeogeographical development and depositional environments. Using this model, you will investigate infiltration and extratraction
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Immunology: Harnessing a human lymphoid organ-on-chip for evaluating innovative mRNA vaccination strategies A post-doctoral position is available to advance the development of a 3D human lymphoid organ model
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simulations, microwave power deposition, tissue perfusion, and bioheat transfer. Perform mesh-convergence, sensitivity, uncertainty, and model-verification analyses. Compare computational predictions with
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), and data-model integration, leveraging the U.S. Department of Energy’s (DOE) Leadership-Class Computing Facilities to advance predictive understanding of complex environmental systems. Major Duties
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, particularly at subseasonal and seasonal lead times. The successful candidate will lead simulations of convective systems using high-resolution regional and global models, evaluate model performance, and
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equivalents called plasmatocytes. We have developed this model organism as a system with which to model the regulation of cellular immunity in vivo and recently have revealed the existence of molecularly
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focus on using and improve the Microbial-Enzyme Decomposition (MEND) model, which explicitly represents mircrobial processes and predicts plant growth and soil carbon dynamics. MEND includes soil
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data and models in Argonne’s GREET model and related analytical tools. The appointee will evaluate current and emerging production pathways, including lithium production from brines and hard-rock
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datasets and labeling processes. Machine Learning & Model Development Design, develop, optimize, and support machine learning and deep learning models. Prepare datasets for training, validation, and testing
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long autoregressive time series, diagnostics and model comparison, sensitivity and identifiability analysis, intuitive model interrogation methods and calibration when observations are few or