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studentship from 1st October 2026 under the AHRC’s Collaborative Doctoral Partnerships (CDP) scheme The student will critically investigate, develop and make use of new research methods, based on advances in
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TypeFixed-termWorking TypeHybridAvailable for SecondmentNoClosing Date30-Apr-2026JD_Param11NoJD_Param12No Two 3.5 year PhD studentships in Artificial Intelligence in Medicine, or Health Data Science, funded
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3.5 year PhD studentships in Artificial Intelligence in Medicine, or Health Data Science, funded by the National Institute for Health Research UCL UCLH Biomedical Research Centre are available within
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the biological sciences. We have an outstanding international reputation and a community of over 500 staff and more than 300 PhD students engaged in cutting-edge research and collaboration. Further information can
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or have any queries regarding the application process, please contact anthro.hr@ucl.ac.uk . We are seeking applicants with broad expertise within Evolutionary Medicine and Quantitative Methods, and
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contexts, and to promote and disseminate an understanding of our region to the wider world; to develop multidisciplinary, interdisciplinary, and multi-method approaches to knowledge creation and to teaching
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that pollutants posed to cultural artefacts and buildings, and the ways that curators, conservators, scientists, critics, artists and the public responded, this PhD project will develop new understandings
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large files e.g. research papers, thesis, publications etc. The appointee will contribute to the statistics and research methods training programme run by the Centre for Applied Statistics Courses (CASC
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detection researchers. You will lead on the organisation and delivery of training courses, educational seminars and funding schemes for PhD students and early career researchers. This is a highly
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are: Completed PhD in a relevant subject (surveying, civil engineering, geography etc.) or have commensurate professional experience. Proven experience over a sustained period in delivering survey practical