27 algorithm-development-"the"-"The-Netherlands-Cancer-Institute" Fellowship positions at University of Oxford
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UK date and time: 28-August-2025 14:27 Applicant Options New Search Login Job Details Help Terms of Use & Privacy Policy Job Details Clinical Research Fellow - Developing a human challenge model in
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to multidisciplinary team meetings, trial clinics, and service development, particularly in the delivery of advanced therapies. You will hold a PhD/MD with focus on haemato-oncological disorders, a membership of the
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departments to project manage the development of a postgraduate taught curriculum in biocultural heritage. About you You will be able to demonstrate attention to detail and a high level of accuracy, and to
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from September 2026 or as soon as possible thereafter. Shorter appointments will be considered in exceptional circumstances. The fellowships offer early career researchers the opportunity to develop
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the development and evaluation of an AI-guided 3D reconstruction framework that recommends image acquisition strategies in real time. The post holder will also be involved in clinical study design, data
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. You would be encouraged to develop an area of your own interest during the post, with potential to work toward a higher degree (e.g. DPhil or MSc), subject to future funding being acquired. In this role
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will have overall responsibility for all aspects of the day-to-day running of the CDT with duties including development and delivery of the curriculum and training programme, oversight of the annual
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, and PhD and project students. This is on a part-time basis to enable other career development commitments. About you You will have a clinical qualification with current GMC registration, along with
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-limited period of teaching development and support, so as a result there is no expectation that the post will be extended beyond the advertised period of two years. The person appointed to the position will
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. The project will define new near miss and severe morbidity definitions allowing us to identify electronically when significant events happen. We will then develop a large multi-centre maternity routine dataset