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of tuberculosis vaccines in Oxford and plan, direct and undertake clinical delivery of research work in both tuberculosis and SARS-CoV-2 studies. You will be responsible for the screening, vaccination and challenge
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postgraduate medical training, and possess sufficient specialist knowledge to work effectively within established research programmes, including specialist knowledge of queer theory and or LGBTQ+ related
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Computer Science, Chemistry, Chemical Engineering, Physics, or Materials Science. You will develop optimisation and machine-learning algorithms for human- and literature-informed discovery of new materials
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computing skills, including the knowledge of UNIX/Linux, Fortran, Python, or other high-level languages. The post is full time and fixed term until 31 December 2026. The closing date for applications is noon
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computational fluid dynamics and wind turbine fluid mechanics together with the ability to understand the aerodynamics of wind energy generation and floating body dynamics is essential. Informal enquiries may be
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. They will have experience with plants, microbiomes, and bees/pollinators. Key accountabilities / duties You will: Design and execute controlled plant growth and stress-response programmes across model crops
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in developing and applying computational approaches to access, clean, harmonise, and integrate complex biomedical datasets, including prescription records, longitudinal clinical data, wearable time
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Job id: 142185. Salary: £39,076 - £41,761 per annum, including London Weighting Allowance. Posted: 31 March 2026. Closing date: 14 April 2026. Business unit: IoPPN. Department: Addictions. Contact details:Eileen Brobbin. Eileen.brobbin@kcl.ac.uk Location: Denmark Hill Campus. Category:...
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Equality, Diversity and Inclusion Strategic Plan, our commitment to equality and diversity goes hand in hand with our commitment to academic freedom and free speech.
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, economics, and other areas of computational social science; • AI scientists for natural science, integrating LLM agents with simulation and, where appropriate, robotic experimentation (e.g., automated “dry