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methods using Python. Apply concepts from linear algebra and image processing to analyze and improve digital images. Process and analyze image datasets and evaluate the performance of different dehazing
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multiple modalities of medical imaging (e.g. fundoscopy images, OCT scans, MRI, CT, X-ray and digital pathology). We bridge the gap between machine learning research and clinical practice through fruitful
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, reporting, and project coordination; Supporting prototype development, testing, and evaluation of immersive experiences and accessibility-focused technologies; and Maintaining project datasets, research
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federated learning platforms. Knowledge of explainable AI (XAI), uncertainty estimation, and clinical validation of models. Prior scientific publications in AI, medical imaging, or digital health. Ability
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interdisciplinary teams. Familiarity with large-scale multimodal datasets, computational imaging, digital twins, autonomous inspection, or AI-enabled experimental systems is highly desirable. Demonstrated potential
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(FtF) will explore the potential of putting young adults face-to-face with their distant future self as a tool to promote positive health behaviours. This new intervention combines digital image
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detection and applications in quantum communications and single-photon imaging. With single-photon avalanche diode (SPAD) detectors, we initiated and led collaborations to produce the first custom-designed
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of Biomedical Engineering and Imaging Sciences (https://www.kcl.ac.uk/bmeis ) is a cutting-edge research and teaching School dedicated to development, translation and clinical application within medical imaging
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for neurovascular interventions. The successful candidate will develop and evaluate medical imaging and artificial intelligence methods for vascular mapping and navigation using computed tomography (CT) and digital
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position contributing to European projects at the intersection of artificial intelligence and digital health. Building on our expertise in the legal, ethical and societal implications (ELSI) of emerging