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an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology Machine Learning, AI Safety, AI Alignment, Eval of LLMs, Multi-agent Safety
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to the 30th September 2026. We are looking for outstanding machine learning researcher to join the Torr Vision Group and work on AI Scientists: systems that use foundation models, AI agents, and robotics
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* together with relevant experience. You will have a strong technical background in machine learning, especially RL and LLMs. An ability to work independently and as part of a collaborative research team is
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183469 – Senior Bioinformatician in Single-cell/Spatial Multi-omics and Machine Learning/Artificial Intelligence Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences
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Internal candidates will be given priority for this recruitment and must apply via the Employee Dashboard. About the Role The Oxford Applied and Theoretical Machine Learning group at the Department
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sciences, AI, machine learning or related fields. Strong background and track record in the development of geospatial foundation models from multi-modal Earth Observations is essential as well as strong
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) in Physics or a related field. Previous experience in cosmological simulations, analysis of cosmic microwave background and/or large-scale structure datasets, machine learning methods applied
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thrusts within the lab’s multi-agent security programme. You should possess a completed PhD/DPhil (or thesis submitted by the start date) in Computer Science, Machine Learning, AI, Security, Robotics
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National Certificate/Diploma in Mechanical or Production Engineering or equivalent qualification, or substantial relevant experience. Extensive experience in high-precision machining, including proficiency
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5 years. The appointments will be in the area of statistical quantitative finance/financial econometrics, in particular data science and machine learning applied to quantitative finance