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to the POSSEM trial, using photon-counting coronary CT angiography, advanced imaging, and computational modelling to identify patients at risk of accelerated coronary artery disease and enable more personalised
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Biology, Medical Imaging, Physiology, Biochemistry, or a related field. Experience: Experience with animal models of disease Strong publication record Strong communication skills Skills: Experience with
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reconstruction, processing, synthesis, and registration, as well as AI for treatment outcome prediction and clinical decision making. The projects will involve using multi-modality images (CT, CBCT, MRI, PET
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) learning numerical methods for wave-equation-based processing, imaging, and inversion. Wave phenomena are ubiquitous in science, and they extend to objectives ranging from global Earth discovery, to natural
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external emails. We are seeking to recruit a Bioinformatician, for an initial period of 18 months, funded by an ARPA-H LIGHT (lymphatic imaging, genomics, and phenotyping technologies) grant, a multicenter
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neuroscientists, medical doctors, and image analysts. Collaboration across disciplines is a core element of the group’s research approach. The group focuses on advanced MRI and PET imaging (including amyloid, tau
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learning/computer vision methodology. The focus of this project will be on the development of deep learning methodology for spatio-temporal medical image analysis, that is medical images that evolve over
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staining and confocal imaging, RNA-seq. Data analysis, interpretation of experimental outcomes, and preparation of manuscripts for publication Supervise and train junior researchers and contribute
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specific interest in knee osteoarthritis. This work involves electrophysiology, calcium imaging, in situ hybridization, immunohistochemistry, neural circuit tracing, and behavioral analysis. The laboratory
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Ref NumberB02-10342Professional ExpertiseResearch and Research SupportDepartmentSchool of Life & Medical Sciences (B02)LocationLondonWorking PatternFull timeSalarySee advert textContract