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, Infected macrophage populations. Perform parameter estimation using optimization and machine learning approaches Develop numerical schemes for high-dimensional structured PDEs (pseudospectral methods
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for motivated students in the field of numerical fluid mechanics and multi-physics simulation methods. Be part of change Analyze and optimize existing coupling strategies to improve the efficiency and scalability
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social and cognitive psychology. The laboratory also develops cross-disciplinary research initiatives among these teams. It also hosts numerous doctoral and postdoctoral researchers. The CLLE is a CNRS
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, numerical methods for multiphysics problems, and the development of numerical optimization methods for virtual design of metamaterials and structures. Do you want to be part of a dynamic research environment
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, you will implement various numerical methods and analyze how they influence the stability, accuracy, and efficiency of the calculations. Different model assumptions for propellant combustion will be
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, you will implement various numerical methods and analyze how they influence the stability, accuracy, and efficiency of the calculations. Different model assumptions for propellant combustion will be
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are developing high order integral equation methods and numerical tools for computational electromagnetics. This research focuses on the frequency domain electromagnetic field solvers that involve automatic
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/ applied mathematics (PDEs) with an experience in coding & numerical methods. A basic background in fluid mechanics/ free surface hydraulics would bring added value Additional Information Work Location(s
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combines numerical simulation, finite element methods (FEM), and artificial intelligence applied to biomedical engineering. The selected candidate will be part of the Institute for Intelligent Systems and
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Vacancies PhD Position - Developing methods for multi-disease test evaluation Key takeaways Background and Challenge In healthcare, numerous "multi-disease tests" are quickly appearing. They aim