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. You will also help evaluate AI tools in real-world healthcare settings, supervise PhD students, and contribute to shaping the future direction of AI in the Unit. This post is full time and fixed term
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computational methods to optimise the quality of doubly curved shell structures manufactured from recycled, short-fibre composites. A particular novelty of the research will be the inclusion stochastic elements
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of Vienna . The Alves research group (ISM and Star Formation) is looking for a highly motivated and talented predoctoral scientist. The university assistant pre doc position is nominally set for four (4
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relevance. A digital twin framework for safe, simulation-based validation before deployment in operational wind farms. Develop explainable AI (XAI) frameworks and human-computer interfaces that enable wind
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Engineering, Mechanical Engineering or related subjects. Funding and Eligibility: UK only Key Information Supervisors: Professor Tony McNally
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Applications are invited to undertake a PhD programme, in partnership with Airbus, to address key challenges in ensuring adoption of sustainable approaches to fuel additives for aviation use
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Manufacturing industries face mounting pressure to reduce environmental impact whilst maintaining efficiency and competitiveness. Traditional approaches often lack real-time insights and predictive
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local gas/liquid phase conditions. Whilst direct simulations of breakup are possible, computational cost is high, restricting applications to small sections of geometry and for modest run times
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curiosity and help us better understand our world. Does this sound like you? Then join our accomplished team! Your personal sphere of influence: At the Department of Business Analytics and Decisions, a
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in Dr Ana Vujic's laboratory, co-supervised by Professor Antonio Vidal-Puig, and carried out in close collaboration with AstraZeneca supervisors Dr Karin Jennbacken (Executive Director, CVRM Bioscience