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Field
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to the design of aircraft, wind turbines and medical devices, and for modelling the environment. Remarkable advances in computing driven by the exponential miniaturisation of transistors (Moore’s law) have
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intensifying upper ocean mixing processes. However, major gaps in our understanding remain due to challenges in observing and modelling the Arctic Ocean. Research Methodology The aim of this project is to
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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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the two models and validate the result on an industrially relevant part. We are looking for a colleague who has a very strong background in mathematical derivation and implementation of numerical methods
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from a wide-range of disciplines in future climate model development, paleo-climate data collection, and applied mathematics. Your qualities The project requires the development of both numerical skills
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are offering four PhD positions in the Simulation and Data Lab Digital Bioeconomy (SDL-DBE). The SDL-DBE develops and applies multiscale models, AI-enhanced simulations, and computational workflows across IBG
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Help push the boundaries of urban wind modelling by developing efficient
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in a variety of lossy media. The project will give you an opportunity to work with theoretical, numerical and experimental aspects of machine learning assisted design of antennas and metasurfaces
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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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microenvironment, and other biological processes. Conduct preclinical studies using in vivo disease models (cancer, inflammation, organ injury, etc.) and new alternative methodologies (advanced biological models