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We are seeking a full-time postdoctoral researcher to join Torr Vision Group at the Department of Engineering Science (central Oxford). The post is funded by EPSRC and is fixed-term for one year
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& Human Flourishing (CEHF), led by Professor Morten Kringelbach, is seeking a Postdoctoral Researcher to join its interdisciplinary programme in contemplative science, computational neuroscience, and human
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Morten Kringelbach, is seeking a Postdoctoral Researcher to join its interdisciplinary programme in contemplative science, computational neuroscience, and human flourishing. What We Offer As an employer
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Are you an outstanding clinical researcher looking to develop your research career? As a world leading centre for research and clinical training, we at the Imperial College Academic Health Science
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applicant. Access to high-performance computing facilities and cloud-based quantum hardware will be provided to support simulation and verification of theoretical methods. About you The successful candidate
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completion of a relevant PhD/DPhil (e.g. in Computer Science, Engineering, or Medical Image Analysis) and possess sufficient specialist knowledge in medical imaging—particularly whole-body and abdominal MRI
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research progress through formal and informal reports and communications. Undertake additional duties as reasonably requested by project leaders, commensurate with the role. Essential Criteria A PhD (or near
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at the University of Oxford as a Postdoctoral Researcher. The group aims to identify, understand, and develop therapies for rare genetic disorders. The group is primarily computational but partners with multiple
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College of Chemistry and Molecular Engineering, Peking University | Exeter, England | United Kingdom | 1 day ago
) Location: Department of Engineering, University of Exeter The Role The Faculty of Environment, Science and Economy seeks a Postdoctoral Research Associate to join the ARIA-funded NEUROBOT project
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of Engineering Science. The post is funded by EPSRC and is fixed term to the 31st January 2027. A2I explores core challenges in AI and machine learning to enable robots to robustly and effectively operate in complex, real