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PhD Studentship: Artificial Intelligence for Building Performance – Optimising Low-Pressure Airtightness Testing Supervisors: Dr Christopher Wood (Faculty of Engineering) and Dr Grazziela Figueredo
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As part of our annual Faculty’s Apprenticeship Training Program, we have an exciting opportunity in the Faculty of Engineering to join the government’s level 4 Advanced Apprenticeship Scheme
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School of English, City as Lab - Deaf Cityscape. Responsibilities include: Note taking during in-person data collection Contributing to the design and building of the study Data coding and processing
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building services engineering discipline such as Heating Engineering, Plumbing and fitting with mechanical systems (knowledge and experience) or be qualified to NVQ 2 or equivalent with extensive relevant
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identifying relevant treatments and their associated Health Resource Group (HRG) codes to link hospital care provided with NHS Reference Costs, as well as linking any primary care activity with Unit Costs of
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2025 start, hosted at the University of Nottingham within the Department of Chemical and Environmental Engineering and School of Pharmacy. The project will focus on the synthesis of polymers that resist
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teams to design, implement, and optimise innovative solutions that push the boundaries of technology. The role will span various stages of the project lifecycle, from initial concept development to final
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collaborative scientists and external companies. Candidates must hold or expect to shortly obtain a PhD, or equivalent in Chemistry, Chemical Engineering or similar Science / Engineering degree and/ or have a
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the engine room of the University’s global strategy. We are committed to inclusive leadership and welcome candidates who bring diverse perspectives and experiences to the role. About you You will be a senior
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Service (DBS), in line with the University’s code of research conduct and research ethics. You will join the vibrant and multi-disciplinary MindTech Research group and will be based in the Institute