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with teams at the RFI and the CLF who will develop ptychography software, which is the computational method of microscopic imaging at the heart of the system. If you have a PhD in Physics or another
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-Time Postdoctoral Researcher in Computer Vision CT image analysis to join the Nuffield Department of Surgical Sciences (John Radcliffe Hospital, Headington, Oxford), working in close collaboration with
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), high content imaging (Opera Phenix) and automated image analysis. It will also involve processing of samples for multi-omics analyses (transcriptomics, proteomics, lipidomics). It is essential that you
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responsible for building experimental systems (using high-speed cameras), developing imaging setups and image processing routines to extract quantitative information from these experiments. This may include
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the first instance Hours: Full Time (37.5 hours per week) About the role We are seeking to appoint two talented structural biologists/protein biochemists (CryoEM and/or cellular imaging) to join the Newstead
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. The candidate will join a vibrant research community at Southampton, the RFI, and the CLF, which includes physicists, chemists, computer scientists, and biologists all working to develop imaging techniques within
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to computer vision, particularly in the context of medical imaging. Some clinical experience is desirable, including interaction with patients. This is a full-time post, and you will be offered a fixed term
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, computer scientists, and biologists all working to develop imaging techniques within a supportive and diverse environment. The post will be based at the University of Southampton and employed by the School
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combines imaging of FRET biosensors with high-resolution genetic and biochemical perturbations to allow us to link signal integration upstream and program activation downstream of phytohormone cellular
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-0002-2331-4729 Key Experience and Competencies Qualifications, experience and competencies PhD in relevant subject area or in the final stages of PhD submission Good knowledge and experience in cancer