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This programme draws on the expertise of academics within our Division of Urban Studies & Social Policy (USSP) and Centre for Public Policy (CPP). USSP is widely recognised as a world-leading centre
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the programme will be overseen by Professor Shakila Thangaratinam and Professor John Allotey, along with senior clinical academics, Dr Andy Sharp and Dr Abi Merriel. The academic training will include
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socio-technical systems. The role is permanent, with potential to expand for candidates able to contribute to other areas of the programme. All our teaching on the degree takes place in person at our
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on delivering high-quality teaching and diverse, real-world research. We specialise in biosciences, chemistry, computing and technology, as well as engineering, forensic science, mathematics, physics
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the opportunity to undertake a placement within Scottish Power as part of your program. The project Power Electronic Devices (PEDs) have been proposed as a new approach to increase the uptake of low-carbon
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. Teaching Responsibilities In the role of a lecturer, the successful candidate will teach graduate courses in the Electrical Engineering (MEE) program and undergraduate courses in the Electrical & Computer
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support to advance the objectives and development of the research programme investigating a dual origin for pituitary gonadotrophs and its relevance to the reproductive function in health and disease. About
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conferences in areas of machine learning, computer vision, and Large Language Models and high-impact specialist peer reviewed academic journals. • Ability to conduct interdisciplinary research activities
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to improve the impact of AI on global societal outcomes through impactful research that is rigorously grounded in the social and computational sciences, decision-maker education campaigns, and training
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they may need to further develop (and for which we will provide support). The applicant will also be expected to work side-by-side with staff recruited in computer science and the wider academic team