307 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" Postdoctoral positions in United Kingdom
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folding. The ability to rapidly learn new techniques is highly desirable, and enthusiasm for working across disciplinary boundaries is essential. Full training will be provided where needed. Prior
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machine learning methods to model changes in the brain over the lifespan, including brain structure and function, and how those changes relate to environment and genomics. What We Offer As an employer, we
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) Further information can be found at http://www.eng.ox.ac.uk/jobs/home Only online applications received before midday on 8 May 2026 can be considered. You will be required to upload a covering letter
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guidance at https://www.jobs.ox.ac.uk/cv-and-supporting-statement. Any technical questions related to this vacancy can be sent to: recruit@ouce.ox.ac.uk The closing date for applications is 12.00 noon on 7
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and data processing skills: experience of programming in one or more languages (e.g. R, C/C++, Python, Matlab). Practical experience of algorithm development and implementation of machine learning
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Are you interested in working on a unique geological dataset to understand the evolution of one of the most enigmatic volcanoes? Salary range £44,247 rising to £50,379 per annum Business Unit School of Natural Sciences Closing date for applicants 30-Apr-2026 Are you interested in working on a...
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machine learning methods to model changes in the brain over the lifespan, including brain structure and function, and how those changes relate to environment and genomics. About the Role The post is funded
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electrophysiology data obtained through collaborations and perform cross-species comparisons. We use machine learning techniques for neural data analysis and computational modelling with a special interest in
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Interviews are expected to take place on 29 April 2026 RCA Benefits available here: https://www.rca.ac.uk/more/work-at-the-rca/staff-benefits/ The Royal College of Art (RCA) aims to foster an inclusive
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their surfaces. Machine learning methods are used to close the complexity gap. Currently, the group consists of three full professors, one associate professor, 6 postdocs and about 15 PhD and 7 master