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orientation, or trans status or history. More information on our structures and initiatives around EDI, including information on staff diversity networks, can be found on our Equality and Diversity Intranet
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data governance, and contribute to policy and ethical frameworks for responsible AI use. Skills and experience required We are seeking an accomplished AI researcher with substantial experience leading
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is a research project focusing on transforming urban food systems for planetary and population health. The postholders will conduct data analysis and prepare papers for publication using already
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to equity, diversity and inclusive education. Fellowship of the HEA(or willingness to gain accreditation) is required. Additional information Informal enquiries are welcome and should be made to professor
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logical approach to tasks High standard of written and verbal communication Ability to manage confidential and sensitive information with tact and discretion Confidence in working collaboratively with a
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on the study of the digital traces we left behind to capture human behaviour and social dynamics through the lens of Network Science, Complexity Theory, and Data Science. The team is made up of researchers in
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. Significant relevant research experience working on a project that relates to health and social care research Experience in quantitative and qualitative data analysis Good understanding of the key issues and
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. This role sits within the Records and Funding Team, supporting the accurate maintenance of student records throughout the entire student lifecycle. You will manage and update student data within the SITS
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You will be responsible for the day-to-day coordination of project activities, working closely with University academics and farm staff to ensure high quality data collection and adherence to agreed
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infectious diseases. Working closely with NHS Trusts, UKHSA and academic partners, you will identify and recruit eligible participants, obtain informed consent, collect longitudinal clinical data, and obtain