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The University of Southampton is committed to excellence in all we do, applying our insights and inventiveness to solve the most complex societal and environmental challenges. As a world-leading, research-intensive university, with a strong and high-quality educational offering, we are renowned...
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potential. We are a Disability Confident Employer and proud members of the Stonewall Diversity Champions Programme. We are committed to actively exploring flexible working options for each role and have been
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once the 2026 call is launched). All potential candidates are encouraged to carefully check the full candidate eligibility criteria in the Horizon Europe Work Programme - 2026-2027 - Marie Sklodowska
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, subject to a successful review, the post-holder will be eligible for reappointment until retirement age. The Associate Professor will develop a world-leading research programme in climate physics and earth
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to 39 total days after 5 years’ continuous service Access to a range of benefits including our Staff Retail Benefits Scheme Wellbeing advice and support through our Employee Assistance Programme In-house
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successful candidate must have a PhD (or equivalent) in the field of computer vision or a closely related area. They will possess the skills and ability to conduct high-quality, innovative research and to
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programme focused on applying AI‑driven analysis to in situ advanced microscopy of fibre‑based materials. The project aims to develop and deploy machine learning tools that extract real‑time structural and
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preparedness to undertake a novel and ambitious programme of independent research. To apply, you must first secure the agreement of a Durham academic department to propose your candidacy and of an academic staff
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About the role We are recruiting a Research Fellow to lead the team's work on zoonotic risk assessment and biosecurity. This is an emerging area as Artificial Intelligence capabilities are increasing. We have outlined strategies for improving surveillance for early detection of novel pathogens,...
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thrusts within the lab’s multi-agent security programme. You should possess a completed PhD/DPhil (or thesis submitted by the start date) in Computer Science, Machine Learning, AI, Security, Robotics