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About Us We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally...
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comfortable in communicating their analysis to staff at all levels, via verbal and written means. This is an exciting opportunity for candidates looking to develop their career in higher education, and who wish
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sitting within a leading programme of clinical, health and bioinformatics at the South London and Maudsley (SLaM) Biomedical Research Centre (BRC) and forms a key component of both the Centre
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sitting within a leading programme of clinical, health and bioinformatics at the South London and Maudsley (SLaM) Biomedical Research Centre (BRC) and forms a key component of both the Centre
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retrospective analysis of the data. This will involve working with existing clinical data, extracting key variables, and compiling into an existing database template. The second component of the role is to make
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. Responsible for: Leading the optical and mechanical design of the microscope; integrating adaptive-optics modules, beam-shaping elements and bespoke detectors; developing synchronous control and lifetime
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, health service and applied research, meta-analysis and evidence synthesis, prevention and early intervention, psychological approaches, psychopathology/ phenomenology, neuroimaging, real world data
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with the Principal Investigator, Dr Stephen Kell. Funding for the project comes from DARPA's EBOSS programme via a contract with Galois, Inc, and the work involves collaborative element with Galois
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%). This post will support analysis of multiomics data (e.g. single cell and single nuclear RNA-seq, spatial transcriptomics, proteomics etc.) generated by the Borne Uterine Mapping Project (BUMP, focussed
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for Applied Bioinformatics (HAB), which provides collaborative analysis support, specialist training, and consultation across genomics, transcriptomics, spatial biology, and AI/ML. Dr. Vigilante also leads