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Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8100F Select ‘PhD Chemistry (full time) as the programme of study You
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, relating to craniofacial identification research and machine learning. You will require a computer science background. You will be applying AI and/or machine learning to Face Lab processes in relation
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, relating to craniofacial identification research and 3D digital avatars. You will require a 3D animation, CGI, computer science and/or anatomical modelling background. A knowledge of anatomy and 3D
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This 3.5-year PhD project is fully funded; students who are eligible to pay tuition fees at the Home rate are eligible to apply (more details can be found here ). The successful candidate will
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worked for some years; or are currently enrolled in a PhD programme overseas Upon successful completion of the PhD programme, the scholar will be considered to join SIT’s faculty as an Assistant Professor
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that could be realised with autonomy and prevents effective human-robot coexistence in complex nuclear operations. The PhD project is aimed at developing technologies, methodologies and assurance frameworks
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with a strong commitment that supports equality, diversity and inclusion, and promotes open science and excellence in science. The Norwich Research Park Biosciences Doctoral Training Programme (NRPDTP
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Sustainability (RAPTOR). The successful candidate will be part of a cohort of PhD students across four universities (Manchester, Liverpool, Surrey, Suffolk) working in a national programme with 18 industrial
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or international equivalent in a subject relevant to the proposed PhD project (e.g. Earth Science, Geology, Geochemistry or equivalent). This studentship is open to those who qualify for Home tuition fees only
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Location: Faculty of Science and Faculty of Engineering, University of Nottingham, UK Start Date: 1 October 2026 This PhD offers an exciting opportunity to explore reservoir computing, a new