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-particle physics, predictive modeling, and AI-enabled digital twins for magnetically confined fusion plasmas in tokamaks. The research will combine high-fidelity simulations, reduced transport modeling
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close to completion) in a relevant area of astrophysics or physics, and should have experience in Type Ia supernova cosmology (supernova modelling, simulations, data analysis and statistical methods) and/or
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microwave circuits, antennas and antenna systems for CubeSat and related space applications. Undertake full-wave electromagnetic simulation and numerical modelling of microwave and antenna components using
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reactions, catalyst surfaces and interfaces, reaction mechanisms, activity and selectivity develop reproducible atomistic simulation and high-throughput workflows using Python, ASE and relevant DFT software
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a sequential decision-making process explored through computational simulation and deep multi-objective reinforcement learning. The project will investigate a simulation platform that reproduces
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. Position 1: Attosecond electron dynamics This position is part of the DOE-funded Early Career project "Rigorous quantum simulation tools for correlated attosecond electron dynamics in molecules." It will
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, qualification, and deployment of AI agents and models, Computational Fluid Dynamics (CFD) simulation codes, and Finite Element Method (FEM) based tools for nuclear energy (fission and fusion) applications
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 7 hours ago
cycle assessment, life-cycle cost analysis, pavement simulation, machine learning, deep reinforcement learning, and/or physics-informed modeling frameworks; and demonstrated ability to effectively
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project of the VUB, introduces a new research framework that treats archaeological prospection as a sequential decision-making process explored through computational simulation and deep multi-objective
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in engineering applications. This includes working with hybrid approaches that combine advanced damage models with machine learning-enhanced numerical simulations, and exploring how these approaches