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to an evaluation of how user-friendly and acceptable an AI-powered dashboard is among registered nurses (RNs) caring for patients having colorectal surgery. This is a six-month multisite study funded by the AI
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to an evaluation of how user-friendly and acceptable an AI-powered dashboard is among registered nurses (RNs) caring for patients having colorectal surgery. This is a six-month multisite study funded by the AI
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potential applications in audio and music processing. Standard neural network training practices largely follow an open-loop paradigm, where the evolving state of the model typically does not influence
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it relates to the laser process parameters. Specifically, you will carry out high resolution Raman imaging on laser written polymer networks with liquid crystal resins. Additionally, you will develop
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understanding of the polymer network morphology and how it relates to the laser process parameters. Specifically, you will carry out high resolution Raman imaging on laser written polymer networks with liquid
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on autofluorescence (AF) imaging and Raman spectroscopy for detection of metastatic lymph nodes during breast cancer surgery. Engaging with and reporting to Dr Alexey A. Koloydenko (Department of
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Population and Data Science. The Institute was ranked the number one place in the world to study ophthalmology (CWUR 2017 world rankings), attracting principal investigators, post-doctoral fellows and PhD
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of expertise, ISSS aims to offer the full portfolio of expertise in the fields of signal and image processing, novel manufacturing technologies, microsystems, microwave engineering, mobile communications systems
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experts to acquire bespoke training and testing data; develop prototype solutions informed by the latest ideas in medical imaging AI, computer vision and robotic guidance; and evaluate models in simulated
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-oncology and early detection research. Your position will be embedded in the CCC’s Advanced Microscopy Development Group, led by Dr Simon Poland and based in the purpose-built laser and microscopy