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Field
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of transportation and energy. Its experimental and numerical modeling activities focus on various complex and multiphysical flows, including turbulence, two-phase flows, combustion, and thermoacoustics. Research
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This PhD project is at the intersection of electromagnetism, numerical methods, and high-performance parallel computing, with application towards the design and optimisation of integrated circuits
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-domain dynamic simulation tool for submerged mooring lines through the development and integration of sophisticated numerical modules. The simulation tool is implemented in Julia and employs a collocation
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No 101073106) The main objective of the GECKO project is to bridge the existing gap between the CAD and the computational models (CAE) and integrate them within the industrial workflow. This will imply
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. You’ll gain experience in spatial analysis, fieldwork, soil and vegetation monitoring, and potentially numerical modelling. The project is a close collaboration with its sponsor, the Environment Agency
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computational and data-driven approaches, focusing on topics such as plant carbon transport, microbial systems, or circular bioprocesses. You will contribute to developing and applying novel modeling strategies
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focus on physical and mathematical aspects is required. In addition, scientific programming skills (preferably in Python) and experience with numerical models are essential. Desirable qualifications
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order to better understand, explain and advance society and environment we live in. Your role The PhD student will develop and apply computational multiscale models to investigate brain energy metabolism
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project will investigate the behaviour and design of rock-socketed anchors through a combination of laboratory experiments and advanced numerical modelling. Laboratory experiments will explore anchor
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of multi-petawatt laser technologies. The primary objective of the project is to exploit the theory and large-scale numerical simulations to design a laser-based optical system capable of efficiently