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the delivery of the 3-year EPSRC Funded ‘Digitally Enabled Circular Healthcare Innovation’ (DECHI) research programme. The aim of the programme is to investigate how advances in digital technologies and digital
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interferonopathies [PMID: 34671122]. Our group previously identified a type I interferonopathy associated with homozygous mutation of STAT2 [PMID: 31836668]. We have generated a mouse model of this disorder, in which
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, advanced characterisation and materials modelling. The ambition for this project is to carry out multidisciplinary research that will explore Li-rich three-dimensional cathodes free from Co and Ni and with
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learning architectures including generative models, particularly for sequence or structural data (e.g. transformers, graph neural networks) Proved experience in working independently and as part of a
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committed to advancing equality and we aim to ensure that our culture is inclusive, and that our systems support flexible and family-friendly working, as recognized by our Juno Champion and Athena SWAN Silver
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, with a special focus on RNA structure and bioinformatics. This position will focus on the development of methods and algorithms for the comparative analysis of metabolic networks. Your future tasks: We
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office license; PIL AB Advanced molecular microbiology skills, including DNA/RNA extraction, PCR/qRT-PCR, genetic manipulation of bacterial pathogens (plasmid construction, transformation, generation
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About the Role We are seeking an enthusiastic and motivated postdoctoral researcher to apply advanced data analytics and machine learning techniques to real-world clinical data in the field of viral
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structural), ECG, and genetics, to model disease trajectories and improve risk prediction in cardiomyopathies. The successful applicant will work closely with the PI to deliver research projects, supervise
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structural), ECG, and genetics, to model disease trajectories and improve risk prediction in cardiomyopathies. The successful applicant will work closely with the PI to deliver research projects, supervise