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Collaborating closely with data curators, multi-omics data scientists and AI engineers to integrate and enrich disease datasets, and test and validate models Applying hybrid modelling approaches to limited data
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. Prior experience with T cell engineering, or tumour immune environment interrogations are particularly desired. What we offer As well as the exciting opportunities this role presents we also offer some
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quantitative and digital methods, such as descriptive/inferential statistics, data modelling, machine learning (ML), experimental prototyping and technology ideation. A significant degree of autonomy is required
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We are seeking to recruit a Clinical Research Fellow in Biomedical Ultrasound for Wound Therapy to join a multidisciplinary team of engineers, clinicians and microbiologists developing novel
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strive to integrate structural biology with functional studies in cells and whole organisms, as well as with drug design and molecular engineering. If you are curious, motivated and ready for challenge
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relevant projects and for the development of future group research strategy. MAS has a large intra-disciplinary team of researchers, engineers, technicians, support staff and academics who work together to
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collaborator Ramiro Alberio at the University of Nottingham. The Living Systems Institute The Living Systems Institute (LSI) is a cross-Faculty research Institute that combines theory and technology from
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-reviewed journals and conferences, presenting findings to both academic and professional audiences, and collaborating closely with a multidisciplinary team of engineers, data scientists, clinicians, and
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-reviewed journals and conferences, presenting findings to both academic and professional audiences, and collaborating closely with a multidisciplinary team of engineers, data scientists, clinicians, and
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to Tackle Modern Slavery’, led by Dr Rowland Seymour. The successful candidate will join a diverse and friendly research group with PhD students and a Research Software Engineer. The goal of the project is to