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methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development of NQR prototype, including system architecture, component selection, and
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scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available to UK (Home) candidates only. Fully-supervised AI techniques have shown remarkable success in
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coordinator for the Medical Imaging and Radiologic Sciences Sonography Program include working in partnership with the Radiologic Technology clinical coordinator(s) in the management and oversight of clinical
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for further development. Mentor students Job Requirements: Master’s degree in civil engineering or related field At least 1 year of relevant experience in signal processing and machine learning. Good written
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embedded in the School of Biomedical Engineering & Imaging Sciences, a vibrant community of engineering designing and translating technology into the clinical. The project will follow the King’s College
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processing and image reconstruction. Orange County is world-renowned for its natural beauty, perfect year round climate, gorgeous locales on the Pacific Ocean and incomparable recreational opportunities. Great
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Engineering field in computer science, or related field. Strong expertise in natural language processing (NLP) and large language models (LLM) Over 1-year research experience in the above required areas
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proposal writing Ph.D. in Computer Science, Engineering, Biology, or a related field with a focus on machine learning or computer vision Minimum 5 years in multimodal image analysis OR deep learning
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to the clinic The post holder will be based in the Department of Biomedical Computing as part of the School of Biomedical Engineering & Imaging Sciences, King’s College London, a vibrant community of engineers
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of Biomedical Computing as part of the School of Biomedical Engineering & Imaging Sciences, King’s College London, a vibrant community of engineers designing and translating technology into the clinical