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. Development of novel processing techniques Modelling techniques that can inform the direction of experimental activity Physical, mechanical and materials characterisation techniques Data-driven approaches
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events, will be used to enhance the diagnostic and predictive capabilities of the safety level for the individual lift. Combining data-driven probabilistic risk assessment models and inspection planning
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31 Oct 2025 Job Information Organisation/Company Umeå universitet Department Umeå University, Faculty of Science and Technology Research Field Computer science Researcher Profile First Stage
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theories and models. This project aims to develop new insights into how bedrock incision processes interact with geological and climatic factors (i.e. spatially variable uplift, shield building, mega
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29 Oct 2025 Job Information Organisation/Company Umeå universitet Department Umeå University, Faculty of Science and Technology Research Field Computer science Researcher Profile First Stage
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achieving Net Zero by 2050. In partnership with Plant Health at Defra (Department for Environment, Food & Rural Affairs), this project introduces a novel AI-driven framework to protect the nation’s plant life
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on the integration of solar systems across spatial scales, linking resource characterisation, building physics, and data-driven modelling. The research is conducted in close connection with the INES platform (Institut
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22 Oct 2025 Job Information Organisation/Company Dublin City University Department Biodesign Europe Research Field Engineering » Materials engineering Engineering » Biomaterial engineering
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25 Oct 2025 Job Information Organisation/Company University Medical Center Utrecht (UMC Utrecht) Research Field Biological sciences » Biological engineering Biological sciences » Biology Researcher
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of heat transfer and turbulence physics in wall-bounded flows through numerical simulations, data-driven modelling, and machine learning techniques. Key goals include optimising convective heat transfer