456 computer-engineering-"https:" "https:" "https:" "Univ" Postdoctoral positions in United Kingdom
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into valuable fuels. Sulphide materials remain underexplored despite their highly promising optoelectronic properties, and this programme seeks to unlock their potential by precisely controlling thin-film growth
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@newcastle.ac.uk Find out more about the Faculty of Medical Sciences here: https://www.ncl.ac.uk/medical-sciences/ Find out more about our Research Institutes here: https://www.ncl.ac.uk/medical-sciences/research
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@newcastle.ac.uk Find out more about the Faculty of Medical Sciences here: https://www.ncl.ac.uk/medical-sciences/ Find out more about our Research Institutes here: https://www.ncl.ac.uk/medical-sciences/research
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: 28 Closing Date : 09-Mar-2026, 11:59:00 PM Disclosure and Barring Service Requirement: Please note that the successful applicant will require DBS disclosure. Further info: https://bit.ly/3DP5K8y
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, Engineering, or a closely related discipline. You will be a materials or physical scientist with a strong track record in applying deep learning to computer vision problems, ideally within battery
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We are seeking a full-time Postdoctoral Research Assistant to work under the supervision of Professor Reece Oosterbeek and Dr Aaron Graham at the Department of Engineering Science (central Oxford
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Central Oxford We are seeking a full-time Postdoctoral Research Assistant to work under the supervision of Professor Reece Oosterbeek and Dr Aaron Graham at the Department of Engineering Science
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About the Role The position is funded for 12 months through Dr Carolan’s UKRI Future Leaders Fellowship and offers an exciting opportunity to shape the next generation of sustainable engineering
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. Contribute to the preparation of funding applications to external bodies. Skills, Experience & Qualifications needed PhD (awarded or submitted) in an appropriate area. Skills in using game engine technology
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application of AI and machine learning models to interpret complex X-ray datasets, and the integration of experimental and computational insights to generate actionable knowledge that advances sustainable metal