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Field
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About Us The post will be based at St Thomas’ Hospital in central London in the School of Biomedical Engineering & Imaging Sciences at King’s College London: https://www.kcl.ac.uk/bmeis . There is
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and the seventh century CE: https://www.nottingham.ac.uk/news/research-on-early-british-voices-and-identities. This project will use datasets previously curated by team members which will be
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biology, biological data science, multi-omics, imaging, modelling, and AI-driven approaches PhD candidates will benefit from: Access to state-of-the-art experimental and computational platforms Strong
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. QUALIFICATIONS Successful applicants will have: PhD in Biomedical Engineering, Ultrasonics, Medical Imaging, Applied Physics, or related field Experience with imbedded hardware, signal processing, and programming
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Fellow to join the Tang Lab. The Tang Lab (https://tangxinlab.org/ ) develops interpretable and autonomous artificial intelligence (AI) systems for biological and biomedical research. Our neuroscience
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, including design approaches, scanning methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development of NQR prototype, including system
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into a highly active research team with strong international visibility in image and video compression, learning-based coding, and multimedia signal processing. This project is funded by FCT/MECI through
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, enabling clear observation of precursor activity prior to failure. High-resolution optical imaging will be used for detecting particle motions throughout the loading process using particle tracking and
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scientific computing, image data processing and numerical simulations would be most welcome You should enjoy working in an interdisciplinary, multinational research environment Being an enthusiastic researcher
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register on the electronic platform https://apply.uc.pt/ to submit their application, selecting the procedure to which they wish to apply. Documents uploaded for the application must be in portable document