250 cloud-computing-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in United Kingdom
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research programme takes a mixed methods approach. The successful applicant will have a key role in the qualitative work package which aims to understand multi-stakeholder perspectives of the C(E)TR process
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Professor Agni Orfanoudaki. You will be responsible for planning and managing your own research programme within the collaboration. You will work closely with Principal Investigators and industry scientists
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machine learning. This particular thematic area will be supervised by Associate Professor Agni Orfanoudaki. You will be responsible for planning and managing your own research programme within
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Applications are invited for a 3-year Postdoctoral Research Associate to be based in DAMTP at the University of Cambridge to work on the project "Tidal Heating of Subsurface Oceans in Icy Moons" funded by the Leverhulme Trust. The position will commence on 1 April 2026 or as soon as possible...
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Salary Details The starting salary will be from £34,610 on Grade E, depending on qualifications and experience. The above full-time post is available from 2 February 2026 to 2 August 2027 on a fixed-term basis in the Faculty of Environment, Science and Economy. The post The Faculty wishes to...
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-of-the-art laboratory and clinical facilities that form an ideal environment for our translational research agenda. The main objectives of our research programme are to: • Understand the mechanisms
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, computer science, or related areas. They will have excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group
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will conduct cutting-edge research at the intersection of neuroimaging, genomics, and computational modelling, with a focus on child and adolescent mental health. The successful candidate will primarily
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, computer-aided decision support systems Previous experience with using deep learning models (e.g., convolutional neural networks, autoencoders, transformers) for academic research Documented experience in
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, computer-aided decision support systems Previous experience with using deep learning models (e.g., convolutional neural networks, autoencoders, transformers) for academic research Documented experience in