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diagnostic imaging research by leveraging expertise in computer vision and image processing. You will be part of a supportive and inclusive work environment that values innovation and excellence. Additionally
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implementation. Its vision is a world where health informatics can facilitate the appropriate, evidence-based use of antibiotics. This ambitious programme of work will be delivered across Liverpool over the next 2
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. The successful candidate is required to: - Contribute to programming, modelling, and human robot interaction - Contribute to computer vision and machine learning algorithms. - Contribute to the implementation
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-task and pay attention to detail TOOLS AND EQUIPMENT USED: Knowledge of operation and use of various office equipment including, but not limited to: personal computer, including spreadsheet and word
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for three years, with the possibility of extension. Projects are in the area of data science and computational neuroscience. You will develop and apply modern methods from machine learning and computer vision
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that are constructed in a way that is inspired by what we know about self-awareness circuits in the brain and the field of self-aware computing. The project will advanced state of the art AI for NLP or vision or both
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, and computer vision algorithms to process 3D scanned crossing datasets. You will have a PhD (or submitted your thesis before taking up the role) in a railway engineering related discipline or an area
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for 1+ years. The selected candidate will join a vibrant and dynamic research group, equipped with state-of-the-art facilities. Key Responsibilities: Leading the development of a vision-based object
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for health, vision, dental, and life insurance, as well as an attractive retirement program, tuition assistance for employees and dependents, and a generous leave program. More information is available at KU
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, bioinformatics, computer vision and molecular cardiology to explore the mechanisms underlying heart function. The group uses machine learning to analyse cardiac motion for predicting patient outcomes, discovering