618 algorithm-development-"Multiple"-"Prof"-"UNIS" Fellowship positions in United Kingdom
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. In this role, you will be part of the research team, working to develop and evaluate privacy-preserved Generative AI algorithms for generating synthetic Personal Identity Information (PII). This aims
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Director of LISA, with a view to developing LISA's research capacity in spatial analysis of housing inequality. The project includes completed and ongoing comparative correspondence tests on rental housing
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foundational understanding of children's agency in digital environments increasingly dominated by AI systems. The UCL team is specifically focusing on the educational technology angle, developing agency
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research in fundamental & applied AI that is directly relevant to policy. to develop and deliver expert-led training on AI to civil servants across government. Fellows will spend 50% of their time on each
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, discounted services, and professional development opportunities. The University of Melbourne We take pride in our people, who all contribute to our mission to benefit society through the transformative impact
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academics in healthcare workforce research. We are signed up to the Research Concordat and are committed to supporting the development of our research staff and will work with you to create further
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organisation, and with Homerton College, Cambridge, as well as with multiple external partners. We are seeking a talented research associate (Grade 7) or assistant research professor (Grade 9) with strong skills
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will be required to take a leading role across multiple projects, with support from other members of the team. Project topics are agreed with the funders in accordance with their priorities. KIS is a KHP
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multiple formats. Characterisation will feature strongly in terms of structure / chemistry characterisation to underpin the electrochemistry developments. CLOSING DATE: Tuesday 15th July 2025 at 23:55 (BST
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We are seeking to appoint a Clinical Research Fellow who will have specific responsibility for research and for developing research objectives and proposals for the Digital Cancer Screening Research