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responsibility for implementing a deep learning work-package as part of a Cancer Research UK-funded programme, developing an image-recognition model to identify morphological features corresponding to clonal
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experiences that shaped your scientific interests and how you plan to use this opportunity to advance your own career, as well as contributions to the scientific community that demonstrate good citizenship
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for rapid development and rollout of sustainable solutions for a wide range of applications through providing a one port of call for innovation-ready businesses to access technological expertise and capacity
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Committed to equality and valuing diversity. Application Process You will be required to upload an up-to-date CV and a supporting statement as part of your online application. Your supporting statement must
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research, deep learning and biomedical image analysis are essential. Strong programming skills in Python and a keen interest in cross-disciplinary research are also required. Informal enquiries may be
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researcher to join the Turing AI World-Leading Fellowship research programme led by Professor Alison Noble. This exciting and ambitious research aims to develop new AI for shared human-AI decision-making in
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also having responsibilities to plan and manage fieldtrip and equipment logistics. Alongside this project, the PDRA will have the opportunity to interact and develop collaborations with a wider range of
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applicant. Access to high-performance computing facilities and cloud-based quantum hardware will be provided to support simulation and verification of theoretical methods. About you The successful candidate
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) programme . The above full-time post is available immediately within the Department of Health and Community Sciences, University of Exeter Medical School. This is a fixed-term position until March 2026. About
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The Role Applications are invited for a Postdoctoral Research Associate in Microbial Metal Sensing. The research project is lead by Dr. Peter Chivers, as part of the BBSRC-funded . The project will