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The University of Exeter’s Department of Clinical and Biomedical Sciences is inviting applications for a PhD studentship funded by Prostate Cancer UK to commence on 5 January 2026. For eligible
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@ch.cam.ac.uk , including 'PhD CI ¿ October 2026' in the subject. How to apply Please apply via the University Applicant Portal. For further information about the course and to access the Applicant Portal, click
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‘Research Area' field blank select ‘PhD Energy Materials' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: a ‘Personal Statement’ (this is a
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Applications are invited for three (3) PhD Studentships, based at the Department of Statistical Science, UCL. The positions can involve any topic within the Statistical Science remit. The positions
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The Ecologies of Learning Lab, led by Sheina Lew-Levy at the University of Durham (UK), is advertising three (3) funded PhD studentships for the European Research Council funded project “Children
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be possible, please contact Professor Chris Proudman once deadline passes. You will need to meet the minimum entry requirements for our PhD programme . Additional requirements: Familiarity with horses
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PhD in Computer Science: Sustainable AI for Plant Species Recognition in Tropical Forests School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Jefersson Alex dos
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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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Can We Teach AI to Outsmart Humans in the Werewolf Game—Without Changing the AI Itself? Large Language Models (LLMs) have dazzled us with their ability to converse, code, and create—but they still struggle in areas where humans excel: reasoning about other players, forming alliances, and making...
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trust in digital communications and readily bypass conventional security controls. This PhD research proposes to design, develop, and validate a novel, explainable, multi-modal detection framework. By