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(or related) Mode of Study Full-time Start Date 1 October 2026 Funding Information ARIES studentships are subject to UKRI terms and conditions . Successful candidates who meet UKRI’s eligibility criteria will
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overall, 6 in each category). Mode of Study: Full-time Start Date: 1 October 2026 Funding Information ARIES studentships are subject to UKRI terms and conditions . Successful candidates who meet UKRI’s
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prediction model – the Met Office Unified Model – and in the use and analyses of the latest climate model output. Person Specification A degree in a quantitative science. An interest in data analysis and
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Applications are invited for a fully funded 4-year PhD studentship based in the Department of Biochemistry, University of Cambridge, and the new AstraZeneca Discovery Centre in Cambridge
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). These should detail how your experience meets the requirements outlined in the job description and your interest in the role. For more information or informal enquiries, please contact Dr Matthew Deakin
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they operate within. Skills Domains During their studies students will train across five skills domains. Responsible NLP data and models Students will develop techniques for building and curating inclusive and
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. Informal enquiries may be made by email to Professor Paul Midgley (pam33@cam.ac.uk ). Further information on the application process is available from Dr Rosie Ward (remw2@cam.ac.uk ).
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This self-funded PhD opportunity explores assured multi-sensor localisation in 6G terrestrial and non-terrestrial networks (TN–NTN), combining GNSS positioning, inertial systems, and vision-based
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global change, damaging critical infrastructure resilience. This project is part of the prestigious Loughborough University Vice Chancellor’s PhD Cluster – RAINDROP (Resilient eArthwork INfrastructure
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, alongside other major global pathogens including hepatitis B and C viruses, HIV, SARS-CoV-2 and Dengue. The postholder will be responsible for designing and optimising sequencing approaches, leading data