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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 understanding and preventing disease progression in
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interdisciplinary research with leading academic groups across neuroscience, physics, and computer science, contributing directly to the future of neuromorphic systems. Key Responsibilities: Differentiate, grow and
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—an ambitious, EPSRC-funded initiative led by Dr. Sina Sareh, Academic Leader in Robotics. We are looking for a highly skilled researcher with expertise in robotics, AI, software engineering, or computer science
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to join the Mead Group to contribute to a major research programme focused on characterisation of in vivo models of myeloid neoplasms and correlating findings with analysis of patient material. You will
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and science exploitation of the MIGHTEE survey data. The postholder would have the opportunity to identify new discoveries in the data and would be ideally placed to lead the science based on the data
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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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Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods
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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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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