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responsibilities. Experience Essential: E1. Experience of planning and progressing work activities within professional guidelines or organisational policy, applying initiative and independent judgement. E2. Track
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technologies for future particle vertexing and tracking silicon detectors. In close collaboration with other UK universities and STFC laboratories, as well as in partnership with international institutions and
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have completed, or be close to completing, a PhD/DPhil in a relevant quantitative field such as computational social science, computer science, or cognitive science. They will have a demonstrable track
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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
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independently and make original contributions to research. A track record of first-author and collaborative publication in high-quality journals or conferences, including in quantum computing literature
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of these approaches, and how to generate robust inferences. We would expect you to be highly skilled at using programming languages such as R or Python. It is important for you to have a track record of implementing
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Vision, Robotics, Evolutionary Computation, Deep Reinforcement Learning, and Machine Learning. This should include a proven publication track record. You should also have: Research Associate: A PhD (or
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following areas: Computer Vision, Robotics, Evolutionary Computation, Deep Reinforcement Learning, and Machine Learning. This should include a proven publication track record. You should also have: Research
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. Previous experience of adapting/developing vacuum instrumentation and a track record of peer-reviewed publications are essential. This 24 month position is available from 1st October 2025 or shortly