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optimization. Your future tasks Participation in research, teaching and administration in the field of Computer Science in Sport / Data Analytics in Sport. This involves: Developing and strengthening
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to completion) or possess equivalent research experience in a relevant computational field such as data science, artificial intelligence, machine learning, computer science or statistics. They will bring strong
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and machine learning models. To be successful in this role, you will have excellent communication skills and written English, strong quantitative and analytical skills, the ability to work creatively
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within the Department of Engineering Science (based in Headington, Oxford). The post is funded by Podium Analytics and is initially fixed-term to 30 September 2027, with possible extension subject to
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of Immunity – Artificial Intelligence (CoI-AI) Programme, a pioneering initiative that integrates controlled human infection models, advanced immunology, and AI-driven analytics to accelerate vaccine discovery
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Job Purpose To make a contribution to an ERC-funded project Dynamic network reconstruction of human perceptual and reward learning via multimodal data fusion, working with Prof. Marios Philiastides
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, machine learning, or data analytics. As a proficient programmer (ideally Python), you will be curiosity-led, with exceptional communication skills, and thrive in a highly interdisciplinary environment. You
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work will be at the heart of creating robust analytical tools that provide an early and accurate indication of the underlying causes of seizure-like events, including epilepsy, functional neurological
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state-of-the-art EC-AFM, analytical STEM, cryo-EM, liquid cell TEM, SAXS, etc. The chance to collaborate with experts across electrochemistry, nanomaterials, and advanced energy solutions Support for
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to work on the discovery of new superconducting materials with high critical temperatures, using novel methods and concepts such as machine learning and quantum geometry. The project is related to large