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. Develop efficient and robust numerical techniques for coupled physical domains, ensuring stability and conservation of key quantities such as energy and charge. Translate fundamental challenges
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and health. The lab conducts method-driven research in natural language processing (NLP) and artificial intelligence (AI), with an emphasis on LLM reasoning, uncertainty quantification, interpretability
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methods to estimate food passage do not measure food directly, are impractical for many species, and often require unnatural conditions to administer. This new method directly measures the transit and
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Element Method. Numerical methods. Ship/rigid body dynamics. Marine wind turbines. Anchoring systems. Professional Experience: Analysis and simulation of Offshore Wind Turbine Platforms: FOWT. Code
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Do you want to contribute to groundbreaking research in the development of a theoretical framework and numerical algorithms for evolving stochastic manifolds? This is an exciting opportunity for a
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. The future junior professor is expected to address key questions in the area of numerical methods for partial differential equations. Participation in the research activities of the Faculty of Natural Sciences
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, remoulding, and pore-pressure variation. This project will develop a new computational model to simulate seabed–mooring interaction at the particle scale. It will combine the Discrete Element Method (DEM
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on the response of the flow to the proposed control methods in respect of heat transfer and drag. *Keywords : flow control, heat transfer, wall-bounded flow, thermal boundary layer, numerical simulations, reduced
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methods with Intensive Multiphysics Boltzmann solver BPIFrance Project No. P3543-24000. Where to apply Website https://ecolecentraledelyon.recruitee.com/ Requirements Research FieldComputer scienceEducation
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skills, social responsibility, and academic success. For more information: https://www.csus.edu/student-life/housing/ Minimum Qualifications Experience and Education: Equivalent to a bachelor's degree in a