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Field
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of coupled ocean / sea ice processes, probe their turbulent interactions, compare with observations, and design parameterizations for global climate models. Job description The past decades have been
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research in computational cardiovascular modelling for patient-specific digital twins, with an initial focus on blood-flow simulation and transcatheter aortic valve replacement (TAVR). The postholder will
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engineering, process engineering or a closely related field, demonstrated through publications. Experience of mass balances, flow simulation or separation and recovery techniques (e.g. distillation, membranes
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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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-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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capture the full complexity of processes in midlatitude stratocumulus. These will range from the kilometre scale down to micrometre scale at which turbulence influences the rate at which cloud droplets
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for a postdoctoral scholar is available in Dr. Hasan Yılmaz’s research group in the Department of Electrical and Computer Engineering at Saint Louis University for researchers with strong backgrounds in
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stochastic processes, Markov models, dynamical systems, quantum walks, or related mathematical approaches. Experience with computational model fitting, Bayesian inference, simulation, or formal model
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for next-generation information processing, microelectronics, wireless communication, and quantum information science. Key Responsibilities: Develop terahertz coplanar resonators, including design
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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