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-termWorking TypeHybridAvailable for SecondmentNoClosing Date02-Jun-2024 The Soc-B (Social Biological) Centre for Doctoral Training (CDT) offers unique PhD training in biosocial research funded by the Economic
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dynamic field of research and teaching at the UCL Institute of Archaeology. We have a lively research community of academic staff, postdocs and PhD students working on the long late Antiquity, the Roman
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PhD and MRes programmes in Risk and Disaster Reduction, MSc programmes in Risk, Disaster and Resilience and Risk and Disaster Science, and an undergraduate BSc programme in Global Humanitarian Studies
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Institute of Archaeology. We have a lively research community of academic staff, postdocs and PhD students pursuing research in both organic and inorganic archaeomaterials across five continents, and the
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. For clinically qualified applicants the post holder will be expected to take up a 0.2 FTE clinical commitment in the NHS. The successful candidate will have a PhD, a track record of extensive publications in high
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category. We encourage applications from candidates who are able to connect their areas of expertise to larger intellectual and methodological frameworks. Candidates should hold a PhD. Prior experience of
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sciences You will have an understanding and knowledge of Survey Methodology and experience of undertaking advanced quantitative analysis using large scale complex survey data. A PhD in Survey Methodology
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. This post is available immediately and is funded to 31 July 2025 in the first instance. You will hold a PhD or equivalent work experience in quantitative social science (e.g. demography, economics, psychology
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description and person specification for full details. Please also read the attached Candidate Guidance document. The successful candidate will need to demonstrate the following criteria: A PhD in related field
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visa under UK Visas and Immigration legislation. Therefore, UCL welcomes applications from international applicants who require a visa. Candidates must hold a PhD in a relevant discipline by the time