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combined approach using numerical modeling and environmental metrology Key words: simulation, modeling, partial differential equations, hydraulics, inverse problem, sediment transport, peri-urban catchment
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thermodynamic framework; Algorithm development for the numerical resolution of the resulting systems; Numerical simulations and validation of the proposed models. The model will be formulated in terms of gradient
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research methods. The overarching goal of LAFI is to understand and quantify L-A feedbacks via unique synergistic observations and model simulations from the micro-gamma (» 2 m) to the meso-gamma (» 2 km
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Position Summary: The Scenario & Exercise Integration Coordinator provides technical support to research, modeling, simulation, and wargaming activities. Responsibilities include preparing scenario
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/AI: Apply data-driven methods to construct reduced-order models that bridge analytical theory & high-fidelity simulation data, enabling rapid drag prediction across surface parameter spaces
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physics. This will include training and deploying machine-learning models that can recognise and classify geometric features critical to simulation accuracy, enabling the removal or simplification
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the capabilities of current ocean model applications, with emphasis on hydrodynamics, coastal flooding, biogeochemical simulations, and the dispersion of coastal pollutants and fish larvae. The postdoc will also
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to crack initiation and assess the influence of the microstructure of Almelec alloys. The results will also be used to improve a predictive FEM model (Abaqus/Python) simulating crack initiation and
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locomotion. Key Responsibilities: The successful candidate will: develop locomotion and local motion control algorithms for humanoid robots, implement learning-based and/or model-based control methods (e.g
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to the university. Ensure that knowledge and expertise in the use and operation of different simulator technologies ranging from anatomic models and task trainers to screen‑based simulations to high fidelity patient