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are invited for a post-doctoral research associate position to work on the development and application of ab initio computational methods for simulating actinide X-ray spectroscopies. Ideal candidates should
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metabolomics, and advanced statistical and computational analyses of large biological datasets. You will also support the maintenance of laboratory equipment and sample banks, ensuring full compliance with
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, Strengthening Communities: Safer Lives (SFSC:SL) parenting programme for the parents of young people at risk of offending or youth violence. The study is an efficacy Randomised Controlled Trial (RCT) being
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to reduce inequality in high-income countries, and/or (3) the study of social mobility and its relationship to economic inequality. The post holder will work with the INET Oxford programme on Economics
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to contribute to the ‘Biological Nitrogen Fixation’ program. This initiative seeks to engineer biological nitrogen fixation into widely grown crop plants to improve yields and reduce global reliance on synthetic
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Are you passionate about pioneering neurotechnology to transform lives affected by chronic pain? Join the University of Oxford’s EPIONE programme, a six-year EPSRC-funded initiative that brings
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profiles, including experience with computational and statistical approaches for biological datasets. Experience or awareness of handling brain and behavioural data will be an advantage, but is not a
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an exciting, stimulating, diverse research environment and actively promote a family friendly workplace. The Institute is also a member of Stonewall’s Diversity Champions programme. The John Innes Centre is a
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We are seeking a full-time Postdoctoral Research Assistant in Optimisation and Control to join Dr Jack Umenberger’s research group at the Department of Engineering Science (central Oxford). The post is funded by UKRI and is fixed-term for 35 months. The project concerns real-time balancing of...
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such as computational social science, computer science, or cognitive science. They will have a demonstrable track record in studying humans and machine learning models, in the context of human social