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This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens
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equivalent) in Engineering, Physics, Data Analytics or other relevant areas. Experience of maintenance practices and environmental data is useful but not essential. Overseas/EU: Applications accepted until
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within livestock environments contains a wealth of information about animal behaviour, health and emotional state, yet it remains relatively under-utilised in commercial dairy systems. This PhD will
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-world contexts and applications. We offer several PhD projects suitable for candidates with a variety of interests and skill sets. Fundamental studies will use analytical and spectroscopic techniques
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Are you passionate about artificial intelligence, data analytics, and cutting-edge engineering applications? Join our interdisciplinary research team and contribute to the future of Non-Destructive
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receive comprehensive training in synthesis, analytical measurements, computation, data analysis, and catalysis. They will be fully integrated into research groups at both Warwick and VUB and will benefit
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Duration: 3 years 1st Supervisor: Dr Abhijeet Ghadge 2nd Supervisor: Dr Nicky Yates This fully funded PhD studentship sponsored by Cranfield School of Management, offers a tax‑free bursary of up
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(mona.nasser@plymouth.ac.uk) Applications are invited for a 3.5-year EPSRC funded UDLA PhD studentship. The studentship will start on 1st October 2026. Project Description Do you want to pursue a PhD where you
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· leave the ‘Research Area’ field blank · select ‘PhD Energy Materials' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: · a
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A large volume of data are routinely captured in high-performance training and competition environments. Whilst these data have the potential to inform key performance decisions, the full potential