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Field
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: The desired candidate(s) will have knowledge and enthusiasm for waterfowl and experience with spatial and statistical models and coding to address the research objectives using modern statistical packages, open
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, sustainable materials, or engineering to contribute to our ongoing research on improving the hygrothermal performance, structural modeling, and durability of CLT, including hybrid and thermally modified wood
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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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as well as RNA processing mechanisms in bone regeneration, and to define molecular mechanisms that underpin impaired bone repair in different disease models including obesity/type 2 diabetes. Research
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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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performance in heavy industry. You’ll develop and apply state-of-the-art modelling, characterisation, and machine learning techniques to understand how batteries behave and age. Collaborating with project
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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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and apply state-of-the-art modelling, characterisation, and machine learning techniques to understand how batteries behave and age. Collaborating with project partners, you’ll turn these insights
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and have a PhD in a field related to mathematical modeling and experience in optimizing industrial processes, this might be something for you! We are looking for a postdoctoral researcher (“PostDoc”) to