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agreed by your current line manager. Interviews for this position will take place on 25th March 2026 Background Libraries and Learning Resources supports the information resource and service needs of staff
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research project investigating the computational and neural principles by which multimodal information is encoded and combined in human perception. The research will combine computational modelling with
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reconciliation and compliance activities. This role is ideal for someone who enjoys working with data, following procedures, and using a questioning mindset to spot errors or unusual activity. If you are
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), the first pan European cohort study measuring child and youth wellbeing across Europe. GUIDE survey research data will, in the future, enhance child wellbeing policy making across Europe. You will join a team
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assays, nucleic acid sequencing and analysis. You will hold an undergraduate degree in biomedical sciences with a working knowledge of data analysis including statistical analysis of data. Experience
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the Lymphovascular Research group collaborating with computational, clinical and laboratory scientists. The post holder will support the group by analysing genomic data to identify and characterise genes underlying
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, including but not limited to screening and enrolling new participants, scheduling and conducting trial visits, collecting research data in line with study protocols, entry of research data into an online
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support funds. This includes the creation of letters as well as maintaining accurate records through the use of spreadsheets. The post holder will also support the team in offering information, support and
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& Performance department, we provide data, insight and advice that inform the direction and priorities of the institution. We’re looking for a Market and Portfolio Insight Lead to deliver clear, evidence-based
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the section of Perinatal Psychiatry at the Stress, Psychiatry and Immunology Lab. As part of this role, they will be a study coordinator for HappyMums, a consortium study which investigates whether data