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, and travel related to the project. Overview ReNU+ is a unique and ambitious programme that will train the next-generation of doctoral carbon champions who are renowned for research excellence and
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develop physics‑informed neural surrogates to support real‑time digital‑twin CFD for offshore wind turbines. Key objectives include: Designing PINN and operator‑learning models that enforce incompressible
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project. The potential to work effectively and inclusively with a diverse team of people The potential to take initiative and manage a dynamic and complex workload. The potential to develop expertise in new
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this research project. The potential to work effectively and inclusively with a diverse team of people The potential to take initiative and manage a dynamic and complex workload. The potential to develop
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a focus. Traditionally, this is done through iterative algorithms (‘trial and error’). In this project, we aim to develop a radically different approach where the correct shape is computed using a 3-D
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The Department of Natural Sciences, Design and Sustainable Development provides education and research within our subjects, with a focus on sustainable development. Ecotechnology and Environmental
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challenging, and skills quickly become outdated due to fast-developing technologies (AI, XR, robots). Currently, most Smart Industry companies lack human capital and knowledge to achieve their maximum potential
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, many current UV-filter ingredients raise concerns around safety and ecological impact. This PhD project addresses this urgent need by developing bio-inspired sunscreens, drawing on nature’s own solutions
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liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er
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4D imaging, their high data rates limit their use in real-time applications. As a result, the available benchmark data for developing numerical models to predict transient multiphase flows is limited