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We are seeking a full-time Postdoctoral Research Assistant to join Torr Vision Group at the Department of Engineering Science, central Oxford. The post is funded by EPSRC and is fixed-term
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solvents. It is essential for the candidate to hold a PhD (or equivalent) in chemical engineering or related branch of engineering. The successful candidate will have a background in process design and
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activities, submit publications to reputed journals and liaise with academic collaborators and sponsors. You must have obtained or be close to obtaining a PhD in engineering, mathematics, physics, materials
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College of Chemistry and Molecular Engineering, Peking University | Exeter, England | United Kingdom | 1 day ago
to the overall architecture of the project’s wireless neuromodulation system. About You You will have: A PhD (or equivalent) in Electrical Engineering, Electronics, Electromagnetics, Bioelectronics, or a related
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About Us The appointee will join the School of Biomedical Engineering & Imaging Sciences. About The Role The research associate will lead the development of cutting-edge multi-modal MRI foundation
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would assist with you undertaking the role. Qualifications PhD, or equivalent professional experience, in Machine Learning, Statistics, Electrical Engineering, Computer Science, or a related field. Key
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validate numerical simulations, generalize experimental observations, and offer insight on the response of selected case studies. You should hold a PhD/DPhil (or be near completion) in numerical modelling
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activities, submit publications to reputed journals and liaise with academic collaborators and sponsors. You must have obtained or be close to obtaining a PhD in engineering, mathematics, physics, materials
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of Biomedical Engineering & Imaging Sciences. About The Role The research associate will lead the development of cutting-edge multi-modal MRI foundation models. These models will leverage both imaging data and
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, engineering and AI with industry scientists, forming small teams focused on ambitious, ‘blue sky’ research for novel methods development relevant for drug discovery analysis pipelines, trial design and