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prediction? You will join the project “From Toy to Cloud Modelling: Leveraging Molecular Simulations to Improve Atmospheric Models of Ice Nucleation” (NERC APP25329). The project is developing physically
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employee. You will be a cornerstone of our project (2026–2029) focused on creating digital twins and AI-driven models for solid state quantum devices. The position is placed in the Theory & Simulation and
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/123 Research Project: SMART-CM, Simulation and Advanced Modelling of Thromboembolic Risk The successful candidate will work within the framework of the SMART-CM project, as part of a research training
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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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simulation runtime/memory, benchmarking alternative neural model formulations to identify the lowest-compute configuration that preserves required electrophysiological outputs, and setting up/validating
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photonics, and nanophotonics. Develop and apply analytical models for light scattering phenomena in photonic structures. Perform numerical simulations using tools such as Lumerical FDTD and COMSOL
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Responsibilities: Develop a predictive model integrating the direct and indirect costs of urbanization. Calibrate this model using real data from specific case studies. Simulate urbanization costs based on various
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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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development of the LOTUSIM-Energy simulator and its associated autonomy components. Their main responsibilities will be: - Developing and integrating multi-physics simulation models for maritime, aerial, and