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of a Community of Impact Practice which will bring together community organisations, schools, health providers, and lived experience experts to co-design tools that help evaluate place-based mental
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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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evaluate place-based mental health initiatives. You are expected to commit 0.2 FTE of your time to teaching within the faculty of Social Science and Public Policy. This will be agreed upon with your line
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or orthotopic tumour models Supporting preclinical treatment studies involving standard-of-care or experimental agents Applying in vivo imaging techniques (e.g., bioluminescence imaging) to monitor tumour
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Waite and team on the ‘Evaluating the Usability and Acceptability of a Prototype AI-Powered Recovery Pathway Progress Dashboard (AI-ERPP Dashboard) for Tracking Postoperative Recovery by Registered Nurses
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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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neuroscience research in Europe, transforming care through world-class research to serve communities both locally and globally. About the role This post-doctoral researcher position will play a central role in
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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
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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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team on the ‘Evaluating the Usability and Acceptability of a Prototype AI-Powered Recovery Pathway Progress Dashboard (AI-ERPP Dashboard) for Tracking Postoperative Recovery by Registered Nurses in