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Life cycle assessment of renewable chemical production with artificial intelligence School of Chemical, Materials and Biological Engineering PhD Research Project Directly Funded UK/EU Students Dr
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Stage(s) assessed at A good honours degree in engineering/mathematics /physics or a closely related discipline. Essential Application A PhD (or nearing completion) in Fluid Mechanics or a related field
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quality assurance processes with evidence of success, including the integration of simulation, technology and inter-professional learning? Experience of a leadership role in undergraduate medical education
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in medical education and the associated quality assurance processes with evidence of success, including the integration of simulation, technology and inter-professional learning Experience of a
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Details A fully-funded PhD position in particle physics is available focused on the search for dark matter using liquid xenon technology. This type of detector is sensitive to dark matter particles
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scientists across six distinguished Healthcare organisations, world-leading AI & technology companies, together with premier biotech companies, with the overarching aim to fast-track major scientific
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Laboratory, to work on the UK Programme of Laser Inertial Fusion Technology for Energy (UPLiFT). This is a 4 year £10M research programme funded by the UK government’s Department for Energy Security and Net
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the development of new research directions. About you You will hold a PhD (or near completion) in physics, optical engineering, or a closely related discipline. Have a background in nonlinear optics
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, Mathematical & Engineering Sciences. The post holder is required to hold a PhD degree in Computer Science or other relevant discipline. They will have skills in natural language processing and deep learning
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we are looking for someone who: Holds a PhD in Earth Science, Civil Engineering, Mechanical Engineering, or a closely related discipline. Has experience in finite element modelling of coupled hydro