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vision and machine learning methods for multimodal imaging and real-time analysis in colorectal cancer screening and treatment. They will contribute to the design of AI algorithms for polyp detection
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colorectal cancer screening and treatment. They will contribute to the design of AI algorithms for polyp detection, tissue characterization, and visual guidance of robotic intervention. This is a full time
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and accurate registration of ultrasound scans of 3D-printed human skulls to MRI/CT head scans. The research associate will develop anthropomorphic head phantoms and algorithms for fast and accurate
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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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analysis) as needed to evaluate team projects and identify the focus for future projects. Become familiar with a range of internal and comparative data sources, assessing limitations of different data sets
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will include contributing to our clinical NLP tools, algorithms and interfaces used by clinical specialists. The post holder will be expected to be able to contribute in the following areas: Extend our
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under which slavery emerges during and after conflicts, and its diverse manifestations and impacts. Scoping activity and requirement analysis with stakeholders in the different centre strands and
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the terminology describing conditions under which slavery emerges during and after conflicts, and its diverse manifestations and impacts. Scoping activity and requirement analysis with stakeholders in the different
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, particularly within digital trials or real-world data studies. Expertise in analysing complex digital health data, including wearable sensor data, mobile health survey, and electronic health records. Downloading
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and experience: Essential criteria Relevant work experience and/or education: We think a wide range of different work and educational experiences could support you to be successful in this role. Strong