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School of Medicine Closing date: 2 January 2026 Start date: 1 February 2026 Defining mechanisms underlying post-translational modification of airway mucus and the impact on mucociliary function
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difficult to deploy outside large data centres. This PhD project focuses on developing resource-efficient computer vision methods that maintain strong performance while dramatically reducing computation
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planned acts, such as targeted terrorist activities. This exciting project will focus on developing a mathematical model (and a supporting research software) to predict the key performance indicators of a
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, delivering high-resolution imaging and molecular Raman sensing to improve diagnosis of cancer and enable localised treatment. What we offer: The chance to work in a world-class multi-disciplinary team
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push the limits of multiphysics CFD for laser manufacturing by developing a next-generation simulation capability for laser drilling (with relevance to additive manufacturing). Your work will capture
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push the limits of multiphysics CFD for laser manufacturing by developing a next-generation simulation capability for laser drilling (with relevance to additive manufacturing). Your work will capture
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substantial background in fluid mechanics. Essential skills: Strong knowledge of numerical methods Ability to work effectively in a team Desirable skills / experience: Experience of applying CFD to a complex
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is influenced by, circularity and sustainability goals. As a PhD student, you will work with both academics from Omnifactory and the engineering teams within MTC, having access to existing advanced
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; stem cells; and surgery. A number of pivotal discoveries have been made in Nottingham with current research continuing to provide exciting data, improving our understanding of breast cancer and
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-developed research support base including NET2Zero CDT, and EPSRC Centre for Doctoral Training in Resilient Chemistry: Feedstock to Function. The research programme will use a mixture of computational