340 algorithm-development-"Prof"-"Prof"-"Washington-University-in-St" PhD positions in United Kingdom
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- VIN UNIVERSITY
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Field
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"forever chemicals," represent a growing challenge for drinking water providers due to their persistence and potential health impacts. Water utilities across the UK, including Anglian Water, are developing
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are not limited to): The development of AI-related skills and competencies for project practitioners The factors influencing project managers’ and organizations’ willingness to adopt AI applications
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the Clean Energy Processes (CEP) Laboratory . The CEP team conducts research on fundamental aspects of thermodynamics, fluid flow, heat and mass transfer processes with applications to the development
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candidate will contribute to feasibility studies on hybrid propulsion systems, the development of robust control architectures for autonomous docking, and predictive maintenance strategies using real-time
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to perform data work with high accuracy and attention to detail We offer an occupational pension scheme, generous annual leave, hybrid working and excellent training and development opportunities. For further
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potential around the UK and Ireland. This PhD project aims to develop and assess the feasibility of various novel fixed-bottom solutions for deep-water wind turbine deployment from structural and economic
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workforce diversity. We actively seek to attract, develop, and retain colleagues with diverse backgrounds and perspectives. We welcome applications from all genders/gender identities, Black, Asian
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the University of Nottingham. This project aligns with Rolls-Royce’s technical needs to develop automated and hybrid tooling solutions for in-situ/on-wing repair and maintenance of gas turbine engines
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, combustion, and process optimisation. The project is focussed on the development of novel interface capturing Computational Fluid Dynamics methods for simulating boiling in Nuclear Thermal Hydraulics
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designing and developing experimental equipment suitable for containing the liquids at the temperatures needed, as well as optimizing the quality of the data obtained, both through experiment design and