34 algorithm-"Multiple"-"Prof"-"U"-"Simons-Foundation" positions at King's College London in United Kingdom
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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, tissue characterization, and
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6. Desirable criteria Evidence of active collaboration with dry lab and co-development of algorithm for the prediction of epitopes. Downloading a copy of our Job Description Full details of the role
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learning methods, such as longitudinal analysis methods, latent variables models, clustering algorithms, missing data and clinical trial analysis Strong publication record Experience in women and children’s
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Learning or Machine Learning algorithms Experience applying quality system standards, software development standards and regulation, e.g. ISO 13485, IEC 62304, MDD, and MDR Experience working within a team
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cohorts. • WP2 will analyse existing data from multiple youth cohorts. All aspects of the project, including the funding proposal, have been and will be coproduced with young people, schools, and
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-disciplinary research environment Desirable criteria 1. Experience in devising and developing novel machine learning algorithms 2. Hands on experience with ROS and physical robots 3. Excellent
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multiple demands, and able to provide informed recommendations to project leads. Their responsibilities will include engaging and enrolling London schools in the study, collaborating with PPIE groups
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working with academics to develop and prepare impact case studies that demonstrate research impact Ability to manage multiple projects and deliver work to established deadlines Desirable criteria
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accurate and timely record management across multiple systems. This would be an ideal role for anyone with a passion for supporting the delivery of excellent education from the heart of London. There are two
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About us: We are a team of Business Analysts based within Digital Solutions in the IT Directorate at King’s. We are a vertical team working across multiple agile teams and Agile Release Trains