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Full time: 25 Hours per week Fixed term: 12 months We are looking for a candidate to join the University of Edinburgh to conduct research on Machine Learning, Reinforcement Learning, or LLM orchestration, with applications to Finance. This post is advertised as full-time (35 hours per week). We...
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defence and security, working directly with industry and sometimes governmental or military collaborators. You are expected to have strong mathematical and programming skills, knowledge of computer vision
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The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity
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to artificial intelligence (AI) (e.g. computer science, engineering, Statistics, and mathematics etc.) The post is available for 30 months, starting on 1 September 2025. If you are still awaiting your PhD to be
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Postdoctoral Research Associate Apply online Job number SST00283 School / Service School of Science & Technology Department Department of Engineering Location Tait Building Contract type Fixed-term
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including providing administrative support to the Associate Dean for Undergraduates for the ‘Preparation for Learning and Teaching at Oxford’ (PLTO) programme. Candidates should have strong administrative
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Grade 6 Research Assistant Essential Criteria 1. A Master’s level degree (or equivalent experience) in Electrical Engineering, Energy Systems, Control Engineering, Computer Science, Artificial
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P. Grey in the Yusuf Hamied Department of Chemistry, working on a project focused on understanding solid-state ion dynamics and phase transformations in lithium- and sodium-ion battery electrode
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P. Grey in the Yusuf Hamied Department of Chemistry, working on a project focused on understanding solid-state ion dynamics and phase transformations in lithium- and sodium-ion battery electrode
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View All Vacancies Reference: UOH-TA-429 Campus: Hybrid Faculty/Area: Faculty of Science and Engineering School/Department: School of Environmental Sciences Subject Group/Team: Geography and