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experimentally validate sensors and AI software for medical imaging, 2) Integrate pioneering and proven tools for the early cancer detection, and 3) Examine clinical workflows and validate the established systems
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use deterministic algorithms based on time-frame and frequency of code occurrence to generate a large number of binary features. This project will compare that type of approach with NLP-based feature
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technologies for integration with robotic end-effectors. This will involve developing appropriate control algorithms to enable dextrous and precise manipulation of high-value horticultural crops, such as grapes
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of novel algorithms to analyse short tandem repeats from short- and long-read sequencing data. Knowledge of current analytic approaches for obtaining insight into the aetiology of mendelian and complex
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groups in the areas of Intelligent Systems, Machine Learning, Algorithms and Complexity, and Programming Languages and Systems. The Department has also made recent appointments in Quantum Computing and