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candidates to have a First-class or 2:1 MEng or and MSc with merit (over 60%) in a relevant area i.e. Chemical Engineering, Process Engineering, Chemistry, Materials Science, Geoscience etc. Candidates
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Our aim is to be the world-leading centre for health economic and health technology assessment research and education, working to improve health and wellbeing through better decision-making. PhD: 3
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additive manufacturing. This project will be closely aligned with the ATI research program (I-Break: Wire-based DED Technology Maturation and Landing Gear Application) and other industrial research projects
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years stipend and tuition fees at the Home status rate at the School of Mechanical, Aerospace and Civil Engineering at the University of Sheffield under the supervision of Professor Pierre Ricco (http
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human-animal-computer interaction lens, examining how digital tools shape farmer-cow relationships, perceptions of care, and welfare‑related decisions. The project will investigate how farmers engage with
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Project description Electromagnetic (EM) sensing is emerging as a powerful enabling technology for modern high-value manufacturing. Advances in computing power and machine learning now allow us to
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-term behaviour, supported as appropriate by computational experiments. Professor Luczak has developed various mathematical techniques for studying the speed of convergence of Markov chains
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. About You The ideal candidate will have a degree level qualification in IT/Software Engineering, or similar, and have significant experience in developing the Tribal SITS:Vision student records system
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annual leave, plus 9 buildings closed days for all full time staff. Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value of benefits provided by
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Description A key component of this work is an interdisciplinary programme of applied, mixed-methods health services research exploring how health and social care services for people with musculoskeletal