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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
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. To this end, the project integrates state-of-the-art knowledge from different disciplines such as algebraic topology, differential geometry, machine learning, and computer vision. You will conduct original
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of Artificial Intelligence, data science and biomedical modelling. This post is funded by Glaxo Smith Kline Research and Development Ltd (GSK) and forms part of the MiMeC Pulmonary Vascular Theme and will focus
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work and that of your team, you will support a data- and intelligence-led HR service, helping drive insight, evidence-based decision-making, and measurable impact across the university. You will lead the
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administrative duties to support the team, including: data monitoring; establishing meeting agendas and the recording of meeting minutes; updating administrative systems and databases with accurate information and
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, running and adapting experiments, analysing and presenting data, and overseeing day-to-day organisation and compliance of the laboratory. This post is available from 01 May 2026 and is fixed-term for 2
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techniques such as flow cytometry, ELISA, western blotting and cell culture, and also in the analysis of data obtained with these techniques. Bioinformatic skills in scRNAseq analysis are a plus. The candidate
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research proposals Oversee the administration and monitoring related to progress of research projects, resolving financial problems, providing information and advice to investigators on the management
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, community fundraising and student projects. Operations and Experience: providing business intelligence, information and insight, governance and stewardship of supporter and alumni relationships, and managing
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by anxiety, depression, eating disorders and other mental health conditions. About the role: We are seeking a highly motivated postdoctoral Research Fellow in statistical genetics and genomic data