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The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global
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this means that the post-holder will not be carrying out independent research in his/her own right, the expectation is that they will contribute to the advancement of the project, through the development
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supporting career development, management and transdisciplinary training on Just Transitions and systems approaches. The research will focus primarily on initiatives to expand heat networks in the Reading area
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research aims to develop new AI for shared human-AI decision-making in healthcare imaging. This post is focused on AI-assisted ultrasound guidance building on the group’s prior work on video and multi
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in the discipline to develop research projects and methodologies are essential as well as strong communications and written skills. For informal queries, please contact Professor Matthew
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. Successful applicants will work closely with our national and international collaborators and are expected to develop innovative research approaches. The role also includes the possibility to co-advice
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on transplant using multimodal medical data. You will be responsible for literature review, data cleaning, model development and implementation. You should possess a relevant PhD (or near completion) in
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About the role Join the innovative and collaborative team led by Professor Geoff Higgins in the Department of Oncology at the University of Oxford. We are seeking an enthusiastic and motivated
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of 24 months. The project aim’s to develop new constitutive models to describe the mechanical behaviour of Thermoplastic Elastomers (TPEs). These polymers are increasingly being developed as a
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interpretation of all data, maintaining records and databases, drafting technical/progress reports and papers as appropriate. 3. Develop and enhance your research profile and reputation and that of The University