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identification of phases in metallic systems such as aluminium alloys or steels. You will have demonstrated expertise in applying machine learning and computer vision techniques for the analysis of scientific
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modulation of disease-relevant cellular readouts. The postholder will lead major experimental workstreams within the programme, taking responsibility for experimental design, data generation, and integration
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archaeology. For a full role profile, please refer to the job description. Further Information To be considered for this opportunity, please submit your CV and Covering Letter by clicking ‘Apply’ at the top of
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communication skills, capable of translating complex interdisciplinary research for diverse audiences. For further information and informal enquiries regarding the role, please contact Dr. Mark Kasumovic via
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(SEEA EA) data to develop methods and on-ground case studies, gaining experience in stakeholder engagement, scholarly publication and practical tool development. What you will deliver: Conduct World-class
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, income-generating teams and data colleagues, you will prepare and review management accounts, support budgeting, forecasting and planning processes, and deliver clear, insightful financial information. You
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chemical information, enabling deeper understanding of fibres used in next‑generation battery and photovoltaic applications. You will work closely with academic collaborators and industry partners, and
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the Centre for Research Staff Development for more information. About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Full
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of national health care provision through data-informed resource allocation and strategic planning and investment. The post is funded by the Wellcome Trust, and the post-holder will join a team based across
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by Professor Ara Darzi, while working towards a PhD degree . The research project will entail project design, experimental work in addition to data analysis and reporting the results in peer-reviewed