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to represent the diversity of the world's talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage
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sports clubs for those looking for more than just a great place to work. Application Process Applications for this vacancy are to be made online via www.recruit.ox.ac.uk and Vacancy ID 181008 . You will be
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machine learning under real life constraints of clinical integration/validation and healthcare regulatory translation/commercialisation. The position is part of the project `Integrated autofluorescence
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into consideration. Moreover, the Researcher will develop experimental set-ups to validate the solid-fluid interaction algorithms that will be developed by other members of the team. While this is an
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academic research and associated activities. This is a fixed-term position for 12 months, funded by Cancer Research UK. Applications for this vacancy are to be made online. You will be required to upload a
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March 2026. Informal enquiries related to the position should be directed to Dr Antoine Cully: a.cully@imperial.ac.uk . For queries regarding the application process contact Jamie Perrins: j.perrins
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set of options outside of academia. This post is full-time and a fixed-term post until 28 February 2028 (with the possibility of extension depending on funding availability). What We Offer As an
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-oncology and early detection research. Your position will be embedded in the CCC’s Advanced Microscopy Development Group, led by Dr Simon Poland and based in the purpose-built laser and microscopy
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. degree in a relevant discipline and prior mouse work and/or laboratory experience. This position is offered at Grade 5 on the university scale. Interviews are expected to take place in late August
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friendly place to work, a unique and historic setting – Durham is a university like no other. As one of the UK’s leading universities, Durham is an incredible place to define your career.The University is