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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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macro- scales at IJL, and to train machine learning models to predict the microstructure evolution at larger scales and longer times at SIMAP lab and Laboratoire Analyse et Modélisation pour la Biologie
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steel technology enabled by advanced manufacturing processes and emerging magnetic materials for applications across automotive, aerospace, and power generation. Starting from modelling and parametric
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be analyzed in terms of the generated radiation stresses. The project will combine analytical modeling, numerical simulations (FEM), and experimental campaigns, in collaboration with physico-chemist
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Modeling for Hydrogen Storage (m/w/d, E13 TV-L, 75%) Responsibilities: Develop a pore-scale model for two-phase flow of hydrogen gas and brine Develop a bioreactive-transport model and couple it with the two
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role The University of Luxembourg invites applications for a fully funded doctoral position in mathematical and computational modelling within the framework of the doctoral training unit Forest Function
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the FaSiRé project who will be working on geomorphological and seismotectonic analysis, as well as numerical modelling of the conditions of megalith and PBR falls. There will be numerous collaborations and
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computing. This particular position focuses on time-series analysis and forecasting using transformer based foundation models. About the Project Time-series prediction using transformer based models is
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, interdisciplinary environment with access to state-of-the-art Earth system models, high-performance computing facilities, and expertise in ocean modelling, carbon cycle science, and climate interventions. LOCEAN
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for all. This PhD project aims to develop a robust numerical modelling framework to improve understanding and prediction of heat and fluid flow in deep geothermal reservoirs. Using geological, hydrological