31 algorithm-development-"Multiple"-"Prof"-"Prof" Postdoctoral research jobs at KINGS COLLEGE LONDON
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://www.kcl.ac.uk/lsm/index.aspx Within FoLSM, the School of Biomedical Engineering and Imaging Sciences is a cutting-edge research and teaching School dedicated to development, translation and clinical application
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About Us We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
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support needs of minoritised ethnic people with multiple long-term conditions, and transform how healthcare providers, communities and policymakers construct, respond to, and support them in local and
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Experience in devising and developing novel machine learning algorithms Hands on experience with ROS and physical robots Excellent mathematics skills, particularly in areas relevant to robotics and AI
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technology—and strengthen collaborative links across institutions. The role is integral to advancing research excellence at King’s in the field of addiction science and supporting further development
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About us At the Centre for Developmental Neurobiology (CDN), we investigate the mechanisms governing the formation of the brain during embryonic development and in early postnatal life. This is
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challenges and pressing environmental, geopolitical, urban and rural issues. Our research findings contribute to public debates and policy development at national and international scales, making important
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class of signalling molecule that acts during embryonic development to generate a variety of cell states. In response to distinct threshold levels of morphogen signalling, cells follow different fates and
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A morphogen is a special class of signalling molecule that acts during embryonic development to generate a variety of cell states. In response to distinct threshold levels of morphogen signalling
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present; it then offers students pathways to study every continent through their second and third years. Our MA provision is similarly broad, developing students’ expertise in medieval, early modern and