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impacts and loads from blasts to the brain using numerical models. You will employ cutting-edge modelling and neurobiological techniques, behavioral animal tests, advanced analytical methods, while
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This research project focuses on the study of advanced numerical methods
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innovative tools combining high-fidelity simulations based on a Lattice Boltzmann Method (LBM) CFD code with advanced data assimilation techniques, notably the Ensemble Kalman Filter (EnKF). By integrating
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Profile Essential Qualifications Master’s degree (or equivalent) in Mechanical/Civil/Computational Engineering, or related. Strong background in numerical methods in engineering, computational mechanics
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(parallelization, efficient data structures), numerical testing, and results analysis. Familiarity with numerical methods, scientific programming in C++, and an interest in reservoir engineering problems
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results and to make parameter estimation more efficient. The project will apply and evaluate these new methods at different sites and time periods, compare them with established approaches, and finally
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or community health policy, among other pertinent fields, are invited to apply. We encourage innovative, interdisciplinary research methods. The successful applicant will have a primary appointment in either
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-scale maser devices, based on integrated circuits Perform experiments using steady-state microwave spectroscopy, as well as time-resolved spectroscopy methods Design and development of new experimental
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conduct researches of transport phenomena and dynamics of chemical reaction using the approaches of active matter, nonequilibrium statistical physics, theory/mathematical calculation method of nonlinear
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complementary data from other Mars missions to strengthen current models and provide comparative insights that enhance research conclusions from Hope observations. Develop Machine Learning methods and run