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agreed upon. Job description The Department of Computer Science and Media Technology is recruiting a doctoral student to contribute to the Swedish Research Council's research project, "Simulating Urban
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endowment in excess of $3.9 billion. Job Description Clinical Learning & Simulation Assistant - Temporary (RN) This position supports the Director of Clinical Learning and Simulation Centers in ensuring
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 10 days 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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wording. https://diariodarepublica.pt/dr/legislacao-consolidada/lei/2004-58216179 Regulations for Research Grants of the Foundation for Science and Technology in force https://diariodarepublica.pt/dr
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Salary Range: $$60,000 – $75,000 Benefits Information: https://www.luc.edu/hr/benefits/ The Stritch School of Medicine at Loyola University Chicago invites nominations and applications for a Research
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(statistical and/or computational); and, where appropriate, their implementation and experimental validation through simulation. The research will make use of techniques from online learning, reinforcement
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(statistical and/or computational); and, where appropriate, their implementation and experimental validation through simulation. The research will make use of techniques from online learning and multi-agent
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, with raw data accessible from a CDCS database hosted at https://potentials.nist.gov/ . Calculation methods will be integrated into the iprPy calculation framework [1], with source code available
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simulation of fluid-structure interaction (FSI) with focus on the fluid mechanics. We couple computational fluid dynamics (CFD) to a structural solver and/or a controller for the detailed simulation of a
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simulations); developing and maintaining tools for data processing, visualisation of results and automation of computational experiments; optimising code performance and supporting the integration of models