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, computer science, statistics, or a related field together with strong programming skills in Python, R, or similar languages, and proficiency in high-performance computing. You will have experience in large-scale
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About the Role The project “An Erlangen Programme for AI” (funded by the UKRI), will broadly involve applying advanced mathematical techniques for understanding training in neural networks, with
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at assessing AMPA receptor variants by patch-clamp electrophysiology To develop and apply a range of techniques to pursue the research objectives. To prioritise and plan experiments in consultation with Senior
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of new methods and their application to investigate the organisation and dynamics of cell interfaces. As a Postdoctoral Researcher, you will also: Plan and conduct experiments, analyse and interpret
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exciting opportunity to contribute to a major regional innovation programme while working as part of a dynamic and supportive team within the Sir Peter Rigby Digital Futures Institute. This role will be
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leading academic and industry experts, and an active academic/industry exchange program that aims to accelerate career development for the postholder employed on the project. About you The postholder should
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applications (e.g. natural language processing, multivariate time-series data), to develop systems that improve the efficacy of machine learning-based technologies for healthcare applications. You must hold a
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into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and applications (e.g. natural language processing, multivariate time-series data
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applications from candidates with lived experience (either personal or within your family) of the areas covered within our research remit including common mental health difficulties, substance use issues
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the Department of Engineering Science at the University of Oxford. The post is funded by the Oxford Martin Programme on Circular Battery Economies. It is fixed term up to December 2027. You will undertake