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of computational biology, molecular biophysics, and cutting-edge analytical technologies. You’ll contribute to the development and application of computational methods to understand protein folding, structure, and
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have strong quantitative analysis skills, using statistical programming packages such as R, as well as excellent communication skills. This is a full time, fixed term post (part time considered) for 3
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application of conditional diffusion models, flow matching techniques, or related generative approaches, as well as experience working with probabilistic (Bayesian) methods and statistical modelling. Strong
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with members of the team and other researchers in the Future of Food programme at the Oxford Martin School. You must hold or be close to the completion of a doctoral degree in a relevant field (e.g. data
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system, as well as on DNA methylation. For patterning, the main application at present is to the dynamics of crossover positioning in meiosis. The group regularly publishes in the most prominent
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postdoctoral research experience. You will bring extensive expertise in the development and application of conditional diffusion models, flow matching techniques, or related generative approaches, as
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researchers in the Future of Food programme at the Oxford Martin School. You must hold or be close to the completion of a doctoral degree in a relevant field (e.g. data science, industrial ecology, geography
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schemes • Cycle and electric car loan schemes • Employee Assistance Programme • Membership to a variety of social and sports clubs • Discounted bus travel and Season Ticket
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Applications are invited for a STFC Postdoctoral Research Assistant in Cosmology . The post is available initially for a fixed-term duration of 24 months. The post holder will report to the group
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role in participating in the exchange programme with Johns Hopkins University. You will also be responsible for contributing new research project ideas, managing your own administrative activities and