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tasks like product listing moderation, attribute extraction, explained relevance prediction. This framework can later also serve as a testbed for customer support chatbots with image understanding and
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tasks like product listing moderation, attribute extraction, explained relevance prediction. This framework can later also serve as a testbed for customer support chatbots with image understanding and
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customer support chatbots with image understanding and image-based product search. The appointed research is expected to be involved in the development and evaluation of the framework, and to contribute
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Division/Team: Division of Informatics, Imaging & Data Science Hours Per Week: Full Time (1FTE) Closing date (DD/MM/YYYY): 30/07/2025 Contract Duration: 36 Months School/Directorate: School of Health
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through an understanding of the bigger picture and showing commitment to organisational values. Developing self and others Showing commitment to own ongoing professional development. Supporting and
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The Division of Informatics, Imaging and Data Sciences in the School of Health Sciences wishes to recruit an enthusiastic and innovative individual to a teaching focussed role of Lecturer in Digital
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of modern biochemical and imaging techniques. This includes: Supporting ongoing projects on the in vitro reconstitution and characterisation of biomolecular condensates. Performing recombinant protein
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imaging techniques. This includes: ¿ Supporting ongoing projects on the in vitro reconstitution and characterisation of biomolecular condensates. ¿ Performing recombinant protein expression and
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policies, flexible working arrangements, and campus facilities. Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made
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to work with academic colleagues across our Schools, on a range of research projects linked to our REF 2029 submission. You will be involved in every stage of the research process — from preparing ethics