198 computer-programmer-"https:" "https:" "UNIS" "https:" "https:" "https:" "https:" "UCL" research jobs at University of Oxford
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, computational neuroscience, biomedical engineering, or a closely related quantitative STEM discipline. A strong background in cognitive, behavioural, and/or systems neuroscience, with relevance to learning
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of the Department. The research activities of the department fall under eight broad headings, though there is much overlap in practice: Information Engineering (Robotics, Computer Vision and Machine Learning
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degree in economics, finance, public policy, or other degree with a quantitative focus and possess sufficient specialist knowledge in economics to work within established research programmes. Demonstrated
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-linear systems of ordinary differential equations and the proficient use statistical programming languages (R, Julia or Python), Bash computing and the development of computational packages are essential
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established research programmes. With the ability to manage own academic research and associated activities, you will also have excellent communication skills, including the ability to write for publication
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We are seeking a full-time Postdoctoral Research Assistant to work under the supervision of Professor Reece Oosterbeek and Dr Aaron Graham at the Department of Engineering Science (central Oxford), within the Solid Mechanics and Materials Engineering Group. The post is funded by the SCGC Fund...
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clearly with stakeholders • Organisation and administrative skills • Competent using a range of computer-based and online applications • Able to organise own workload and work
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at the Oxford Experimental Medicine Clinical Research Facility, including out-patient clinic sessions. The job plan will be based on up to 2 PAs of clinical and related service. You will teach through University
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proven expertise in seismic data processing and analysis, knowledge of volcanic/ geothermal processes, strong quantitative skills, and proficiency in Python for scientific computing. You should be
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, and intervening in the internal representations and computations of large-scale AI systems. The project explores areas including automated circuit discovery, structured capability hypotheses from