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welfare initiatives and inform relevant strategies and policies. Our ideal candidate will have a postgraduate degree with a strong research component and practical experience of conducting observational
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levels of government in England and Scotland. We anticipate that the PDRA will largely use ethnographic methods within the spatial and engagement constraints of the wider RACC research, but we are open to
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using a combination of spatial transcriptomics and immunostaining (Acha-Sagredo Cancer Cell 2025). In parallel, we developed computational methods for the analysis of spatial omics data (Bortolomeazzi
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the utilisation of upcoming facilities such as the Square Kilometre Array Observatory. The Astronomy Group specifically focuses on applying advanced Artificial Intelligence (AI) methods to astrophysical research
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welfare initiatives and inform relevant strategies and policies. Our ideal candidate will have a postgraduate degree with a strong research component and practical experience of conducting observational
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computational methods. You will not only employ cutting-edge multi-omics analysis pipelines but also develop new computational techniques to study cellular communication and investigating new targets for drugs re
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science. About You We are seeking a PDRA who will use advanced statistical and computational methods to analyse multi-omics datasets, such as genomics, proteomics, and metabolomics. You will develop
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to the creative industries. Importantly, you must have knowledge and experience of qualitative research methods, particularly in the design, organisation and execution of interviews with diverse groups
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Array Observatory. The Astronomy Group specifically focuses on applying advanced Artificial Intelligence (AI) methods to astrophysical research. As a result, we actively collaborate with experts in