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sustainable fluorination reactions. Under the supervision of Dr. Chris Ewels, a CNRS Research Director and expert in DFT modeling of nanocarbon materials, the postdoc will lead Work Package 2 (WP2), which aims
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA INDUSTRIALE | Italy | 1 day ago
Description Aim of this project is to develop, validate, and apply original models and methods for the path planning and trajectory planning of multiple vehicles in 4-way shuttle-based automated S/R (storage
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prototypes. You will work at the interface of AI and photonic-, semiconducting-, and superconducting quantum hardware. Your work will span across materials, sub-component, and system levels modelling to build
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methodologies for modeling and predicting the properties of complex materials and surfaces, including doping and/or functionalization to optimize their physicochemical characteristics Where to apply Website http
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on building and understanding foundation models for science, and in particular modeling complex interconnected systems from astronomy, biology, fluid dynamics to solar physics. For this position, we are looking
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well as interpretability of scientific foundation models. The rush to build foundation models has led to the development of large machine learning models in Astrophysics, fluid dynamics, biology, weather prediction, solar
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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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. To minimise material and energy wastage, digital models of the manufacturing processes can be developed and linked to process control and optimisation. State-of-the-art digital models and AI tools
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at CNRS in the Institute of Chemistry of Media and Materials of Poitiers (IC2MP - UMR CNRS 7285 - https://ic2mp.labo.univ-poitiers.fr/ ) in the Catalysis and Non-conventional media team, under
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documents uploaded using the dedicated electronic form. helpdesk: petra.koudelova@fsv.cvut.cz High-Velocity Dust Impacts on Tungsten Plasma-Facing Materials: A Predictive Multi-Scale Modeling Framework with