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The Mobile Robotics Group (MRG) at the Oxford Robotics Institute (ORI) in the Department of Engineering Science at the University of Oxford is seeking exceptional candidates for a full-time
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The Kelly lab welcomes individuals with diverse career backgrounds – PhD-level scientists in any discipline with expertise in data and programming, or software engineers outside of academia looking to change
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. You will publish nationally and internationally and give scientific lectures. You will participate in scientific projects and in the acquisition of third-party funding You will prepare and complete a
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the departments bioinformatics capabilities more broadly. You would be encouraged to take part in postgraduate teaching (mostly MSc students) that would typically amount to 2-3 lectures or tutorial per year. This
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set-ups to conduct experiments on magneto-active (viscoelastic) polymers and will work on the integration of the associated software for the Solids Mechanics side of the project under the guidance
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at the Department of Science and Technology Studies, which is part of the Faculty of Social Sciences. Science and Technology Studies is a social science field with a strong interdisciplinary orientation
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, Engineering and the Built Environment Application Deadline: 22 July 2025 Job Duration: 12 months Birmingham City University (BCU) a leading institution committed to Equality, Diversity, and Inclusion (EDI
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sustainable waste management, biochar technology, and behavioural change policy. The role combines research, coordination, and international engagement. You will lead the development of three bilingual market
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Ellison Institute of Technology, Oxford Limited | Oxford, England | United Kingdom | about 11 hours ago
About EIT The Ellison Institute of Technology is establishing a world-class R&D facility at Oxford Science Park to drive sustainable innovation in health, food security, climate change, and AI
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Technology Laboratory (DSTL), Electromagnetic Environment (EME) Hub. About You Applicants should have a PhD in modelling hypothetical scenarios, with and without data, for structured decision-making under