47 application-programming-android-"the" PhD scholarships at University of Nottingham
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novel computational imaging and sensing techniques for compact imaging systems. These systems are applicable to all sectors which require compact imaging specifications, but will have a primary focus on
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novel computational imaging and sensing techniques for compact imaging systems. These systems are applicable to all sectors which require compact imaging specifications, but will have a primary focus on
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flexible working practices Applications welcome from candidates from under-represented backgrounds Adjustments available to support candidates with physical disabilities or neurodivergence You’ll be a good
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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
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applications, and is intended to be a collaboration with Rolls-Royce and the UK Atomic Energy Authority. Supervisor: Mirco Magnini PhD Project Description The aim of this PhD is to robustly validate and
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filled The overarching aim of this project is to find synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application
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Joint Industrial and EPSRC-funded PhD studentship in the Synthesis and Processing of Novel Biomaterials, in partnership with Haleon Applications are invited for a PhD Studentship, with an October
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of Engineering which conducts cutting edge research using the Digital Twin Technology to accelerate electric propulsion system development. Applications are invited for the above research studentship to join the
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advantageous. Eligibility and Application The position is open for both UK home and international candidates. PhD Start date: 1 October 2025 Application deadline: 10 June 2025 For further information please
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home tuition fees only and a tax-free stipend. Applications are only open to students who qualify for UK home tuition fees. Supervisors: Prof Tricia McKeever (Professor of Epidemiology and Medical