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complex interactions between plasma discharges, chemistry, and flame dynamics. ESCAPADE addresses this challenge by developing an innovative multi-physics simulation framework that combines first-principles
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simulation and deep multi-objective reinforcement learning. The project will investigate a simulation platform that reproduces the structure of real prospection activities by integrating multiple
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prospection as a sequential decision-making process explored through computational simulation and deep multi-objective reinforcement learning. The project will investigate a simulation platform that
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, FPGA, dSPACE), and with hardware-in-the-loop or real-time simulation. You have knowledge of electrical drive systems and of the interaction between inverter and electric machine. You are proficient
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implement reinforcement learning approaches for epidemic mitigation. The main focus in this position is on research ; Work with epidemic simulation models and formulate control problems as sequential
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students and interns WHAT WE ARE LOOKING FOR You hold a thesis-based doctorate in computational chemistry or computational biophysics. You have extensive experience in molecular dynamics simulation of