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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 2 months ago
systems that will benefit the development of models and methods for predicting the behavior of gas hydrates in their natural environment under natural conditions and production scenarios. RIC supports major
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 22 hours ago
Development Program to obtain pertinent, high-quality information on natural gas hydrates systems that will benefit the development of models and methods for predicting the behavior of gas hydrates in
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, engineering, physical or life sciences. ● Demonstrated experience with laboratory experiments (design, conduct, analysis). ● Demonstrated experience in modeling (formulating equations, and computing predictions
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Qualcomm, the POP-AART lab with Elekta and the Netherlands Cancer Institute, and the AIRIS programme on mechanism-informed generative models for predictive and personalised medicine. CyPhai is part of
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AI systems to model disease trajectories, predict healthcare outcomes, and estimate healthcare costs. You will integrate multimodal data, including genetics and -omics, to improve model
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is shown below. Toward a predictive understanding of the development of multicellular organisms, The Laboratory for Developmental Dynamics is developing mathematical models of developmental systems and
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chemical transport model (CTM). These geospatial inputs and information will be used to fine-tune a NASA foundation model (Prithvi WxC) to emulate CTM processes, and to predict ground-level air quality data
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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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to validate predictions made by their machine-learning models and drive wet-lab discoveries. The candidate may also have opportunities to work with research software engineers to translate their research
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learning, understand their mathematical foundations, and connect them to space-related technologies and missions. The focus is on building rigorous models that explain and predict the behaviour of modern