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to harmful radiations, and by making continuous 24/7 operation possible. Some supervisors of this PhD project were involved in a recently completed feasibility demo project (OptiSort), funded by IUK (Innovate
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Applications are invited for a PhD studentship in the Department of Engineering. The successful candidate will have the opportunity to work on an investigation into tunnelling-induced ground
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PhD Supervisor: Dr Marcus Newton Supervisory Team: Dr Marcus Newton, Dr Dan Porter, Prof Steve Collins, Prof Paul Quinn Project description: The University of Southampton is expanding its PhD
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This research opportunity aims to hire PhD students as a self-funded program. By analysing retinal images with deep learning technology, early detection of Alzheimer’s disease may be possible. By
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related to staff position within a Research Infrastructure? No Offer Description Overview Qualification type: PhD Subject area: Control and Machine Learning Location/Campus: College Lane, Hatfield Closing
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application form can be found here: www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding notes The PhD studentship will cover standard UK home tuition fees and provide a tax-free stipend at the standard
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DoS: Dr Eve Kelland ([email protected] ) 2nd Supervisor: Professor David Parkinson ([email protected] ) Applications are invited for a three-yearPhD studentship. The studentship will start on 1st October 2024. Project Description Multiple Sclerosis (MS) is a complex...
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Overview Qualification type: PhD Subject area: Control and Machine Learning Location/Campus: College Lane, Hatfield Closing application date: 10 June 2024 Start date: July 2024 or as soon as
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. Training & Skills You will receive the following training as part of the PhD project: Intervention design, physiological measurement and health tool use and analyses training, questionnaire and interview
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environment and context. Training & Skills You will receive the following training as part of the PhD project: Intervention design, physiological measurement and health tool use and analyses training