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producing key research outputs. About You The successful applicant will hold a PhD (or be close to completion) or possess equivalent research experience in a relevant field such as anthropology, sociology
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, The University of Manchester. Applications are invited for a post-doctoral research associate position to work on the development and application of ab initio computational methods for simulating actinide X-ray
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viewing conditions and across languages. By combining behavioural methods with machine learning, it aims to develop physiologically-based models of lexical colour categorisation. This is a multidisciplinary
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the mechanical determinants of cell fate decisions and tissue dynamics in lung regeneration and fibrosis. Using a pioneering approach called spatial mechanomics (A. Hallou, et al. Nature Methods 22, 737–750, 2025
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analysing the intersection of the financial and fertility sectors as a key site of reproductive politics. Using qualitative methods, this project consists of three work streams analysing case studies that may
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of reproducing aerodynamic loads in real time for physical experiments. The project combines numerical modelling, data-driven methods, and laboratory experimentation to advance next-generation real-time hybrid
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designed for multiwavelength cosmological modelling. Once in hand, the candidate will use the simulations to explore novel analysis methods with the goal of applying them to data. Collaborative endeavours
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leading venues; contributing documented software to the group library; and supporting supervision of student research projects. The postholder will have substantial ownership over one or more core research
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grants from national and international funding bodies You will hold a PhD/DPhil in Social Sciences or a related subject and possess a track record of original qualitative research and sufficient knowledge
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the Centre for Research Staff Development for more information. About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD