50 phd-position-for-fully-funded-reserch-in-computer-vision PhD positions at University of Nottingham
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at Faculty of Engineering. Vision We are seeking PhD student that is interested in high pressure reactor systems that can be used to produce high value molecules from lignin rich wastewaters that arise from
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conducts cutting edge research into enabling technologies for future aircraft applications. Vision We are seeking PhD student that is motivated to conduct research in electrical power system stability
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to funding restrictions, the position is only available for UK home candidates. As sponsored by MTC, the successful candidate would need to pass the sponsors’ own security checks before starting the PhD. PhD
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seek optimal trade-offs between compactness and performance, delivering foundational insights into the future of high-performance electric propulsion systems. Funding 3-year PhD tuition fee (for UK home
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through health, retail, mobility, energy and communications. This exciting PhD programme will first use qualitative methods to investigate how the public access and use OTC medications for a range of common
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be considered). To apply visit: http://www.nottingham.ac.uk/pgstudy/apply/apply-online.aspx For any enquiries about the project and the funding please email Rasa Remenyte-Prescott (r.remenyte-prescott
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The Faculty of Science AI Doctoral Training Centre (DTC) invites applications from Home students for fully-funded PhD studentships to carry out multidisciplinary research in the world-transforming
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| £20780 + £2500 industry top up (per annum (tax free)) Overview This exciting, fully-funded PhD opportunity invites applications from candidates with a robust foundation in data science, modelling, and
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footprint reduction. This research aims to deliver practical, high-performance motor solutions aligned with the sustainability requirements of future transport systems. Funding 3-year PhD tuition fee (for UK
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Applications are sought for a fully-funded 42 month PhD studentship to work with Dr Rachel Nicks and Prof Stephen Coombes on the project: White Matter Computation: Utilising axonal delays to sculpt