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Leedham (colorectal cancer biology), Dan Woodcock (cancer genomics), Helen Byrne (mathematical modelling), and Jens Rittscher (computational pathology and imaging AI), offering a unique opportunity to work
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We are seeking a talented and motivated researcher to join the Mead Group to contribute to a major research programme focused on characterisation of in vivo models of myeloid neoplasms and
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students and PhD students. Applicants will have, or be close to completing a PhD in a relevant field and possess relevant experience, in the area of probability or statistical machine learning. They will
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, calcium imaging, optogenetics and/or behavioural methods. The project is part of a broader research programme designed to use cross-species research to uncover mechanisms for memory in both health and
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to study health and disease. Accordingly, almost all of contemporary biological science research is critically dependent on our ability to identify which genes are related in different species. The Kelly
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computational cognitive neuroscience/psychology, computer science, or relevant quantitative field, and a demonstrably strong track record of scientific publication and novel idea generation. You will have strong
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projects in computer vision research, with a particular emphasis on Spatial Intelligence, 3D Computer Vision, and 3D Generative AI. You should hold a relevant PhD/DPhil (or near completion*) in Computer
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://baldwinlab.chem.ox.ac.uk/. About you Applicants must hold a PhD Biophysics, Chemistry or a related area, or be close to completion, prior to taking up your appointment. The research requires experience in NMR, familiarity
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research will feed directly into the broader goals of this programme to assess the suitability of various approaches to GGR. About you You will hold or be close to a PhD in Aqueous/Environmental/Ocean
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experience in working with human neuronal cell lines that provide models of understanding the biology of protein aggregation and its phenotypes. About you Applicants must hold a PhD in Chemistry or a relevant