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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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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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, including time series analysis and statistics (e.g. mixed effects modelling) Capacity to develop computer code and experience with programming languages (Matlab, Python, R) and geospatial tools (e.g. ArcGIS
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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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systems. These models will be part of a multicellular modelling and simulation framework being developed as part of the Australian Research Council's (ARC) Discovery Project "Bridging biological boundaries
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 28 days ago
/Description: The Miao Lab in the Computational Medicine Program and Department of Pharmacology at the University of North Carolina – Chapel Hill (https://www.med.unc.edu/pharm/directory/yinglong-miao/) is
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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
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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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of Environmental Engineering, ETH Zürich and matriculate in ETH Zürich. The research is related to development of experimental and modeling techniques to identify emission sources, simulate the airborne transport
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simulations); developing and maintaining tools for data processing, visualisation of results and automation of computational experiments; optimising code performance and supporting the integration of models