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. Experience in working with industry partners and other internal or external parties to maximise the research impact and establish new research collaboration Skills Demonstrable ability to plan and manage
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in related program areas to gain exposure to and build knowledge on experimental/research activities and approaches, in order to improve conceptual development and industrial implementation. Identify
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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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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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-projects within the ambit of the project. The role holder will be expected to plan and manage their own research and administration, with guidance where required, and to assist in the preparation
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(which includes the University of Glasgow, King’s College London, University of Bradford and University of Sunderland) in order to realise the objectives and development of the research programme into
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of study. Will be able to demonstrate sufficient knowledge in Papyrology and associated methods and techniques to work within established research programmes. Will have linguistic proficiency in Demotic and
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methods and techniques to work within established research programmes. Have linguistic proficiency in Ancient Greek and Latin and experience working with a range of ancient sources, including papyri and
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range of shopping/travel discounts, access to our Employee Assistant Programme Scheme, Health and Wellbeing Support and a salary sacrifice cycle to work scheme. Please follow this link to find out more
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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