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interdisciplinary research programme involves national and international collaborators. We are a vibrant, enthusiastic, innovative and strategic enterprise with an internationally leading position to make a real
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the responsible deployment of AI in clinical environments. To be considered, you must hold a Masters degree in engineering, mathematics or computational and have demonstrated experience in programming
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Science Park. The post is funded by Innovate UK and is fixed-term to 30th April 2026. The CEBD project is an ambitious programme to develop the first category enhanced battery powered eVTOL. The project
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leading academic and industry experts, and an active academic/industry exchange program that aims to accelerate career development for the postholder employed on the project. About you The postholder should
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), and a detailed research programme (maximum 5 pages), and names of two referees. Please send as a single PDF file. The University of Oxford is committed to equality and valuing diversity. All applicants
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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Wellcome Trust and by project-specific funding from the EU Horizon programme. As part of a multi-disciplinary research team, you will contribute to analyses of the global food system. Some of the interests
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of experimental data. You will primarily support the insectary at the Jenner Institute aiming for the assessment of new target antigens as vaccine candidates for the Malaria Vaccine Programme using some of the most
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degree (or currently be enrolled in a master’s programme) in a relevant field, as well as experience with qualitative data analysis. You will possess strong academic writing, presentational, and critical
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, an ambitious research programme investigating how genomic differences between individuals drive behavioural diversity and innovation across animals and humans. You will play a central role in supporting