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Field
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MSc in physics, applied mathematics, environmental sciences, computational science or a related field; excellent skills in scientific programming and numerical/statistical analysis of simulated and
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. Strong knowledge of quantitative and/or computational research methods, ideally in econometric analysis or optimization and simulation models. Preferable knowledge in Python and STATA. A collaborative team
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to understand the properties of electromagnetically driven flows in thin deformable electrically conducting liquid films and layers by means of their nonlinear stability analysis and numerical simulation. It
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research identifies an active and growing research field, with numerous advancements in the past 18 months. A focus on generative AI agents has progressed capabilities towards exploiting zero-day
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the controlled flow at tunable temperature and photopolymerization of the precursor. The practical work will be complemented by fluid mechanics computer simulations, including solutions employing machine learning
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the ability to simulate the temperature of the canopy-soil system, they provide valuable information on the interactions with the underlying surface. This is particularly important for urban areas where sparse
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will aim to design solutions to reduce the handover and roaming procedure time, validate the resulting approaches using simulations firsthand, and then implement them on practical testbeds. You will be
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and simulation, Railway mechanics, and Structural mechanics. About the research project The current PhD position is one out of four within the project RAM3 : “Unlocking the Potential of Recycled
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, Applied Mathematics, or a related field. Strong foundation in computational modelling & numerical simulations The laboratory The Decision and Bayesian Computation (DBC) – Epiméthée (EPI) laboratory
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of the numerical methods behind CFD and turbulence models. Experience in analyzing CFD data and interpreting simulation results. Excellent command of written and spoken English. Experience writing scientific reports