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Field
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD student will join the
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biogeochemical processes that govern their behaviour. Job description The PhD candidate will develop and analyse new process-based mathematical models to improve our understanding and predictive capability
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strength: experimental and numerical investigation. PhD Opportunities in Rock Mechanics (Two Positions Available) We are seeking applications from two outstanding domestic PhD candidates to join our research
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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, selectively forgetting, and adapting their behavior through experience, all while retaining commercial-grade mechanical properties. In this PhD project, you will synthesize and characterize semi-crystalline
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PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High Velocity Impact
to join SIMLab at the Department of Structural Engineering, NTNU, in the field of computational mechanics, experimental mechanics, and protective structures. The project focuses on developing next
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description of the Workplace The PhD project will be conducted within the field
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computational image analysis, computer vision and machine learning. The aim is to develop robust and standardized methods to link structural, mechanical and biological properties to biomaterial performance and
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, and industrial partners, will provide interdisciplinary training spanning chemical and mechanical engineering, computational fluid dynamics (CFD), experimental combustion diagnostics, and techno
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scale radar datasets with high quality labels remain scarce. In this PhD project, you will investigate foundation models for automotive imaging radar. The goal is to learn general radar representations