110 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" positions at University of Leeds
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Social Sciences, Humanities and the Arts for People and the Economy (SHAPE) Interviews are expected to be held on the 15 January 2026 This role will be based on the university campus. We are open to
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. Please note that due to Home Office visa requirements, this role is not suitable for first-time Skilled Worker visa applicants. Information on other visa options is available at: https://www.gov.uk/browse
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. Information on other visa options is available at: https://www.gov.uk/browse/visas-immigration/work-visas ; What we offer in return Generous pension scheme options plus life assurance Health and Wellbeing
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tailored to your career goals. You will have, or be close to obtaining, a PhD in deep learning, computational geosciences, computer sciences, mathematics, or physics, and have experience of developing and
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consider eligibility under the Global Talent visa. For more information please visit: https://www.gov.uk/global-talent To explore the post further or for any queries you may have, please contact: Dr Steve
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Project Link: Image guided intervention supported with mixed reality | Project Opportunities | PhD | University of Leeds Eligibility: UK and International Funding: School of Computer Science
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British Bachelors Honours degree (or equivalent) in an appropriate discipline. Subject Area Mechanical Engineering, Computer Science & IT, Data Analytics Keywords Optimisation, adaptive sampling, corrosion
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Nikolaos Nikitas, Professor in Structural Dynamics and Engineering, Dr Raffaele De Risi, Associate Professor in Civil Engineering, Dr Evangelos Pournaras, Professor in the School of Computer Science and Dr
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disciplines? Do you have research experience and a keen interest in developing physics and chemistry tools to reveal complex protein/glycan interactions? Are you eager to develop your expertise, push the
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i.e. LCD TVs. Augmented and Virtual Reality technologies are the next logical step in display device technology. However, incumbent materials lack the requisite performance for Augmented and Virtual