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Module Leader, Year Tutor, Degree Programme Director, Outreach Co-ordinator Contribute to the Business School’s international, programme and professional body accreditations Contribute to the wider work
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The Child and adolescent Health Impacts of Learning Indoor environments under net zero (CHILI) Hub is a program funded by the MRC and NIHR, the goal of which is to understand the health effects we
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programmes in the first three years, of which will be followed by committing to an industrial placement in the fourth year of this doctoral programme. Supervisors: Entry requirements: Essential: A first or
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Manufacturing” Programme Grant, which will place the student within an active and supportive team of 9 other PhD students, 15 postdoctoral researchers, 18 world-leading academics from 5 universities, and 11
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will provide experience with new and advanced 3D-printing equipment not available elsewhere. This project is aligned with the “Dialling up Performance for on Demand Manufacturing” Programme Grant, which
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About the Project Main description: Fiber-polymer composites are innovative ad sustainable alternative in construction due to their lightweight, excellent fatigue and durability, which are widely used in wind turbine blades, structural engineering exposed to offshore environments. However, the...
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Contract type: Full time (35 hours - 1FTE), fixed term (18 months) Detailed description The recruited candidate will be responsible for generating a database of qualitative data acquired through focus groups and interviews with regulators, manufacturers and engineers, and deriving analytic...
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Laboratory), and will provide experience with new and advanced 3D-printing equipment not available elsewhere. This project is aligned with the “Dialling up Performance for on Demand Manufacturing” Programme
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Funding: School of Computer Science studentship consisting of the award of fees, together with a tax-free maintenance grant of £20,780 per year for 3.5 years. Lead Supervisor’s full name & email
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of innovative computational methods using Big Data, Behavioural Science and Machine Learning to understand behaviour through the lens of digital footprint/“smart data” datasets, cutting across sectors ranging