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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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postdoctoral research associate to join our multidisciplinary team led by Dr. Rossiter, including clinicians, bacteriologists, structural biologists and advanced microscopy and imaging specialists. The project
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internationally recognised for its research in craniofacial biomechanics. Located in UCL Mechanical Engineering and supported by state-of-the-art imaging and material characterisation facilities, the lab focuses
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treatment and reducing brain injuries Modern MRI scans tell us about a tumour’s biology. Through advanced computing (radiomics), it is possible to extract much more information from MRI images than is visible
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Applications are invited for the role of Clinical Research Fellow in Imaging and Brain Cancer, based in the Magnetic Resonance and Precision Imaging (MR&PI) Theme of the Nottingham NIHR Biomedical
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biology, ideally having studied lubrication biology in the joint Experience in molecular biology, computational immunology, bioinformatics and multi-dimensional imaging including light-sheet and 3D tissue
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-world conditions to verify system operation against targets and demonstrate the reliability of the technology for use in backup power, grid stabilisation, and renewable energy integration applications
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) and image processing. Previous postdoctoral experience. Informal enquiries to Phoebe Allan, email: p.allan@bham.ac.uk We believe there is no such thing as a 'typical' member of University of Birmingham
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biology, ideally having studied lubrication biology in the joint Experience in molecular biology, computational immunology, bioinformatics and multi-dimensional imaging including light-sheet and 3D tissue
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and motivate others to do the same Multi modal live imaging and mammalian cell biology Hands-on experience in imaging Strong understanding of image analysis Desirable Experience with relevant software