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in Quantum Optical Physics: Theoretical, Simulation, Modeling for Experimental Design Title: Postdoctoral Fellow, physics Appointment Status: Non-tenure track Department: Department of Physics, Indiana
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, KY Grade Level 46 Salary Range $52,021-85,800/year Type of Position Staff Position Time Status Full-Time Required Education MA Click here for more information about equivalencies: https://hr.uky.edu
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design recovery and stability strategies using large-scale simulation workflows. Build and expand realistic, continent-scale power system models (e.g., the European transmission grid). Implement and test
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veteran status, or any other basis protected by law. See https://www.asu.edu/aad/manuals/acd/acd401.html and https://www.asu.edu/titleIX/ . In compliance with federal law, ASU prepares an annual report on
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of oceanographic datasets Analysis of ocean circulation models (e.g., GLORYS) Use of OceanParcels framework for Lagrangian simulations Application of ROMS (Regional Ocean Modeling System) for numerical modelling
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 1 month ago
of numerical simulations and digital twins. By using advanced machine learning methods, such as Physics-Informed Neural Networks (PINNs) and Variational Physics-Informed Neural Networks (vPINNs), the project
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Title of the project: "Numerical simulations of galaxy collisions
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Extension, Matanuska-Susitna College, Prince William Sound College, and Prince William Sound College - Cordova Extension) Online: https://www.uaa.alaska.edu/students/safety . Request a paper copy in person
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Extension, Matanuska-Susitna College, Prince William Sound College, and Prince William Sound College - Cordova Extension) Online: https://www.uaa.alaska.edu/students/safety . Request a paper copy in person
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machine learning techniques for building efficient reduced-order models in the context of the numerical simulation of parameterized partial differential equations. The analysis of recent deep learning