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e.g. feedback Contributing to the design of modules and their assessment Leading on relevant administrative tasks relevant to the module or programme About You The postholder must have postgraduate
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well as academic leadership and an effective contribution to programme or department administration or projects improving the student experience. In return we offer a highly competitive rewards and benefits package
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in partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. The Baby Ubuntu programme is a group-participatory programme
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. Proficiency in statistical methods, programming (including Linux), and use of high-performance computing clusters and parallel computation is expected, along with a clear research vision to enhance the Unit’s
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detection models, with a focus on achieving generalisable multimodal understanding in zero-shot settings. About You The successful candidate must have a PhD (or equivalent) in the field of computer vision or
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Queen Mary University of London and the Francis Crick Institute. This initiative brings together world-class experts in evolutionary genomics, stem cell biology, and computational science to unravel one
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About the Role This role sits within the Faculty Student Experience Team and is the first point of contact for all student support queries for taught programme students in their cluster, handling
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the successful candidate embarking on a PhD programme at LSHTM. It is anticipated that the role will lead to a further 18 month funded opportunity at Max Planck Institute for Demographic Research (MPIDR), in
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development of the research programme into health equity. The role will be based in the Blizard Institute This is an opportunity for a candidate with a Postgraduate (MSc/ MA) qualification in a relevant subject
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programme. Around one third of young people experience elevated suspicious thoughts and paranoid ideation. “Treating Unhelpful Suspicious Thoughts in teenagers (TRUST): A schools-based feasibility randomised