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3. The successful candidate working with BaYaka and Bandongo in Congo will be co-supervised by Vidrige Kandza (Institut National de Recherche en Sciences Sociales et Humaines). Funding. PhD students
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machine learning. The position will involve working with different research groups in the Department of Computer Science at the University of Cambridge, UK. In this collaborative project, we will apply
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Number of awards: 2 Start dates: January, April or October 2026 About the project Two PhD studentships are available as part of the project ‘BIRES: Building body image resilience in populations
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Deadline: 30 September 2025 A fully funded four-year PhD position is available to work on the project titled “Real-world quantum verification and benchmarking of noisy hardware”. This position is a
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This 3.5-year PhD studentship is open to Home (UK) applicants. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£20,780 for 2025/26; subject to annual uplift
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Deadline: 30 September 2025 A fully funded 3.5 year PhD position is available to work on the project titled “Scalable benchmarking for digital quantum computers based on blind testing
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MEng degree (or equivalent) and a PhD in Maritime Engineering and Technology or pertinent disciplines (Res Assistant if no PhD), adequate knowledge of modelling marine engines operations with alternative
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applying to the Computer Science PhD programme, supervised by Dr Ashley Fraser. For your application, you will need: Two-page CV with names and contact details of two referees (one must be academic). In
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communication skills with the ability to work collaboratively. Ideally, the candidate will have a strong background in molecular biology and/or biochemistry. A good knowledge of genomics and the chemistry
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Research Office Location: Newport, Shropshire TF10 8NB Post Type: Full Time Contract Type: Fixed Term - 36 Months Closing Date: 23.59 hours BST on Sunday 19 July 2026 Reference: PHD-SELF-OCT-2026