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sponsorship. Responsibilities: Performing high level experimental, theoretical, and numerical research and data analysis (50%) Presentation publication, and proposal preparation (25%) Mentoring PhD and MSME
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
health, water and energy to help Carolina continue to be a leader in science innovation and the application of knowledge. APS has united numerous scientific entities on campus to further its mission
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Postdoc (f/m/d) Mechanical Characterization and Materials Assessment for Nuclear Applications / P...
at the microstructural level and what this means for the interpretation of macromechanical test data. Numerical methods, in particular FEM-based stress analysis at initiation sites within the framework of local fracture
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materials such as anisotropic, hyperbolic, epsilon-near-zero, dispersive, lossy or active media. The successful candidate will develop analytical models and numerical tools, generate original research
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the development, testing, and analysis of resilient geotechnical systems. The work will rely on centrifuge modeling, geotechnical laboratory testing, and complementary numerical simulations to improve understanding
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modeling—integrating first-principles simulations with machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model
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modeling—integrating first-principles simulations with machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 6 hours ago
findings in peer-reviewed journals, present at technical conferences, and contribute to proposals and reports for project sponsors. Gain knowledge in developing numerical reservoir simulation models
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of neural networks, information-theoretic and optimal-transport perspectives on representation and generalisation, probabilistic numerics and Bayesian deep learning, and emerging frameworks for scientific
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 2 months ago
to increasing CO2, and on warm and cold climatic states. contribute to the development of improved process representations for next-generation Earth System Models and future CMIP simulations. Your Profile A PhD