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and other complex fluids using molecular simulations. In order to make these simulations more computationally feasible, development of coarse-grained models and new Monte Carlo or molecular dynamics
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research related to the application of computational mechanics techniques and numerical simulations for the topology optimization of structures considering a minimum weight approach and advanced constraints
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par impression 3D. Des simulations numériques et plusieurs études expérimentales ont montré le gain potentiel en termes de performances. Ainsi, plusieurs architectures 2,5D voire 3D seront étudiées afin
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simulation software (e.g., OpenFAST). Mindset: A "design-to-prototype" approach, eager to apply complex theoretical models to real-world industrial challenges. Soft Skills: Excellent written and verbal
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to the Sustainable Built Environment (SBE). The SBE team focuses on building energy modelling and simulation, decarbonization strategies for the built environment and R&D of green building technologies such as HVAC
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analyses. The work will involve network analysis, computational modeling, and simulation of control strategies for healthcare‑associated infections. Candidate profile: Applicants should hold a PhD in network
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include: Modelling and simulation of hybrid-electric aero-engine performance and environmental impact Working with preliminary system design and mission analysis Participating in and contributing
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is of advantage: Knowledge of parallel programming and HPC architectures, including accelerators (e.g., GPUs) Experience in modelling and simulation, ideally in the field of energy systems Experience
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and document criteria for drone communications simulator solutions and the datasets that are used to train and test them. - Prepare industry landscape identifying long-range communications, mesh
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laboratoire. L'algorithme final a montré de très bons résultats sur des données de simulations et sur des données expérimentales (https://doi.org/10.1364/OL.566273 ). Cependant, cette approche requière une