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Field
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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administrative tasks related directly to the delivery of the research Promotes equality and values diversity acting as a role model and fostering an inclusive working culture Assist in writing papers for high
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Assurance and verification offerings for AI are fragmented and target specific areas of AI lifecycle (e.g. model assurance or prompt injections) without offering a unified view of the security
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facilities including the Mixed Reality Lab, Robotics Innovation Centre and AI4Cyber Enclave. Research expertise includes AI, robotics, cybersecurity, modelling and analytics. Our Commitment to Equity and
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care worldwide. Through a phased training model, the program emphasizes both foundational knowledge and leadership development to prepare fellows for a successful career in the pharmaceutical industry
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that preserves reliability and resilience; (3) quantify economic viability and equitable pricing models for energy and ancillary services provided by cVPPs; and (4) train interdisciplinary researchers to support
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model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised
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integrated research in computational, information and experimental sciences. (1) Development of molecular dynamics simulation model of network formation by free radical polymerization in an extension
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systems, ML model training, and model deployment, and demonstrated record of advising non-technical stakeholders on technical topics. Excellent communications skills, previous experience of contributing