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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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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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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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(‘CSMH’), a cross-Faculty initiative between the Faculty of Social Science and Public Policy (SSPP) and the Institute of Psychiatry, Psychology and Neuroscience (IoPPN). The centre aims to understand
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must either have a PhD in a relevant biological subject or have submitted or about to submit their PhD thesis. Candidates must also have demonstrable expertise in biochemistry, cell biology and/or
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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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development of open-source tools for the hearing healthcare community. About you You should have a PhD in computer science, biomedical engineering, or a related field with strong expertise in medical image
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at conferences and seminars. The successful candidate will be required to work in collaboration with other postdocs and PhD students in the lab. As such, the ability to work in a team is essential. This role will
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Laboratory in the `Digital Innovation Facility¿ at the University of Liverpool. You will possess, or be close to completing, a PhD in Electrical Engineering / Electronics / Computer Science or a relevant
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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