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conceive, plan and independently execute appropriate activities to deadlines. It will be important to communicate effectively, both orally and in writing. Ability to find information, analyse complex data
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, artificial intelligence/machine learning, digital twins, and blockchain technology for operations and maintenance. This position is part of the Maritime Future Fuels Training Plan project, which aims
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30 September 2028. This project is associated with an exciting new EPSRC/UKRI-funded Programme Grant entitled “Advanced Device Concepts for Next-Generation Photovoltaics.” This collaborative project
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) (Principal Investigators). The applicant will make essential contributions to a research programme focussed on unravelling the interplay between ageing fibroblasts and immune cells in immune mediated
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. Undertaking external collaborations. Working effectively as part of a research team in the development and promotion of the research subject. Plan and carry out reservoir simulation studies of CO2 injection
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analysing medical images and working with data Strong programming skills in R or Python Good communication skills and ability to work in a team Ideally, you would also have: Experience with AI and machine
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time. There will be opportunities to develop your own research program in the area of ultra-small angle X-ray scattering both independently, and in collaboration with the I22 user community
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. The post-holder will be one of six centre-funded postdoctoral researchers delivering on projects that form our core research programme. They will be a cornerstone of the centre, collaborating across our
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MRI, QSM, relaxometry, or magnetization transfer imaging), Proficiency in neuroimaging analysis pipelines, including familiarity with tools such as FSL, MRtrix, ANTs, or equivalent, and programming
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with members of the team and other researchers in the Future of Food programme at the Oxford Martin School. You must hold or be close to the completion of a doctoral degree in a relevant field (e.g. data