308 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" "St" Postdoctoral research jobs in United Kingdom
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personal and professional development opportunities. To learn more follow the link to our benefits website . To apply For further information on the Post Doctoral Fellowship Schemes and how to apply please
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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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for development of the lymphatic molecular genetics programme at CSG will be advantageous. For further information about this position and to apply, visit http://jobs.sgul.ac.uk . St George’s School of Health and
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, cardiovascular diseases and rare diseases. This specific role focuses on engineering CAR-T cells and developing programmable gene control systems to improve safety and therapeutic efficacy. The successful
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apply, visit http://jobs.sgul.ac.uk . St George’s School of Health and Medical Sciences is committed to promoting equality, diversity and inclusion in all its activities, processes, and culture for our
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information about this position and to apply, visit http://jobs.sgul.ac.uk . St George’s School of Health and Medical Sciences is committed to promoting equality, diversity and inclusion in all its activities
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Job Purpose To make a contribution to an ERC-funded project Dynamic network reconstruction of human perceptual and reward learning via multimodal data fusion, working with Prof. Marios Philiastides
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will join the world-leading team in ultrafast magnetism and THz photonics. The project is based on the recent breakthroughs: 1. Phys. Rev. Lett. 135, 246703 (2025) https://doi.org/10.1103/ldnx-67qz 2
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the leadership of Principal Investigator Dr Andrew Siemion. Listen's interdisciplinary research has synergies with many of the department's research priorities, including exoplanet studies, machine learning