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Requirements: Bachelor’s, Master’s, or PhD degree in Materials Science, Engineering, Physics, Chemistry, Imaging Science, or a related technical field. Basic understanding of X-ray imaging, tomography
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About us: The applicant will join the Wellcome-funded Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab, in the Research Department of Biomedical Computing. The post will
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and supervise PhD and MSc student projects). Qualification: Background in concrete technology and characterisation. Background within image processing, computer vision, or related fields. Background
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responsible innovation are valued and enabled. About you · PhD in medical imaging or a related field · Experience in breast imaging research · Experience in developing risk prediction
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will be part of a multi-disciplinary team of clinicians, basic scientists and imaging experts who jointly deliver this award. You will have the opportunity to register for an MD or PhD at the University
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well as a small animal imaging centre with a 7T Bruker MRI scanner. The post holder will deliver internationally leading research in cardiovascular disease and imaging, supervise PhD students and contribute
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on destructive assays or fluorescent labeling, which limit continuous monitoring of cell cultures. Label-free approaches represent a promising alternative. Hyperspectral imaging (HSI) enables the extraction
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teaching light microscopy and/or image analysis to PhD-level research scientists in a formal classroom setting Strong leadership, organizational, and communication skills Experience organizing microscopy and
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-edge research on spectral CT, quantitative imaging, and artificial intelligence. Position Highlights: - Research Focus: Engage in impactful research, focused on spectral CT, quantitative imaging, machine