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information, please contact Prof. Rob Dwyer-Joyce at r.dwyer-joyce@sheffield.ac.uk Learn More: Leonardo Centre: www.sheffield.ac.uk/leonardocentre John Crane Ltd: www.johncrane.com Become a leader in clean
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for their projects. AI transformation processes in projects and organizations Ethical considerations of using AI in project planning and delivery The use of project data analytics in AI-driven decision-making Machine
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creatively. Good computer skills, plus good presentation and writing skills in English, are required. Previous research experience in contributing to a collaborative interdisciplinary research environment is
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | 3 months ago
, further exploring the carbon-related impact of polymer breakdown. The project will also incorporate artificial intelligence (AI) and machine learning to optimise degradation processes and data analysis
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reconciliation, enhancement, and integration of the MLGB dataset, working with legacy print, manuscript, and digital sources. You will apply and adapt digital methods (especially TEI XML), analyse provenance data
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) for candidates for whom English is not their first language. Funding and other information: The award includes cover for UK home tuition fees and subject to eligibility, a stipend at standard UKRI rates. For 2025
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reserves. In 2021, we established eight “butterfly banks” at two sites in Bedfordshire and in 2024 built a further eight at two sites in Wiltshire. To collect data on the efficacy of the banks
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EPSRC as part of a £160 million investment in quantum technologies. More information on QuSIT can be found at www.qusit.org . The successful applicant will be embedded in a vibrant, multidisciplinary
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Supervisor: Dr Stuart Wagland How to apply For further information please contact: Name: Dr Stuart Wagland Email: s.t.wagland@cranfield.ac.uk Phone: +44 1234 75 4298 If you are eligible to apply, please
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a focus on meat and dairy promotion. In partnership with Adfree Cities, the student will investigate: (1) the link between advertising exposure and mental health using large-scale secondary data and