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Field
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will be compared to natural prototypes (e.g. in Asia or western North America) and analog models, with emphasis on the implications for structural models needed for energy geoscience. Key skills include
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advance regenerative medicine. For more information about the lab, please visit https://mesa-lab.org/ .Projects will utilize in vivo mouse models, transcriptomic techniques, and advanced intravital imaging
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. The position involves research in modeling and simulation of within-host virus dynamics, theoretical immunology and multiscale immune-epidemiological models of infectious diseases and teaching two classes per
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'Earth System Modeling of Regional Sea Level Rise and Risk'. The candidate will work under the direction of Prof Nowicki (UB) and Prof Kopp (Rutgers) and in collaboration with multiple UB faculty and
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Department of Energy (DOE). ORNL’s CCP conducts world-class research and development in multi-scale computational coupled physics, large scale data analytics and DL, and model-data integration at the DOE’s
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Position Details Position Information Internal Posting? Posting Number SP005014P Position Title Postdoctoral Research Associate, Statistical and Computational Modeling for Digital Twins Division
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novel machine learning models—including Physics-Informed Neural Networks (PINNs), variational autoencoders, and geometric deep learning—to fuse multimodal data from diverse experimental probes like Bragg
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make a difference in the world! Position Information The selected candidate would assist a team of ecosystem modeling scientists to perform process-based ecosystem models based research and develop
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) simulations and reduced order modeling of turbulent and reacting flows relevant to advanced propulsion and power generation systems, such as gas turbines and detonation engines. The successful candidate’s
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organoids derived from human induced pluripotent stem cells (hiPSCs). The Meng lab integrates brain organoid models with CRISPR-Cas9-based genetic screening, antisense oligonucleotide (ASO)-mediated mRNA