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Contract type: Fixed term for 12 months Hours: Full-time About the role We are seeking a Full-Time Postdoctoral Researcher in Computer Vision CT image analysis to join the Nuffield Department of Surgical
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the Department of Computer Science at Royal Holloway, University of London. This is a full-time, fixed-term post for one year from September 2026, with some flexibility around the start date. The project seeks
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externally Supporting laboratory capability, protocols, and scientific guidance within the team You should possess: A PhD/DPhil (or near completion) in Engineering, Materials Science, Physics, or a related
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/schools For an informal discussion to find out more about the role then please contact Jessie Woodbridge: by email at [email protected] You will have: A PhD in palaeoecology, environmental
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across tissues, over time and upon perturbation for translational benefit, leveraging tissue profiling through multiomic technologies in conjunction with cutting-edge computational and machine learning
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group externally • Supporting laboratory capability, protocols, and scientific guidance within the team You should possess: • A PhD/DPhil (or near completion) in Engineering, Materials Science, Physics
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). The researcher should have a PhD/DPhil in robotics, computer vision, machine learning or a closely related field. You have an excellent academic track record in topics relevant to robot perception. A specific
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, or be nearing completion of, a PhD in Computer Science or a cognate field. The successful candidate must possess expertise in distributed AI/ML systems and computer networks. Good knowledge and practical
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, political languages and democratic outcome will be key. The ideal candidate will be educated to PhD level, with established expertise in South Asian/Tamil history or politics (or clear evidence that
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European Landscapes (DROUGHT) brings together perspectives from anthropology, geosciences, and the environmental humanities to understand drought as a complex socio-cultural and geophysical process. Working