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demonstrations. The successful candidate will work at the intersection of multi-disciplinary modelling, advanced AI algorithms, and decision-support tool development. Responsibilities will include programming
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demonstrations. The successful candidate will work at the intersection of multi-disciplinary modelling, advanced AI algorithms, and decision-support tool development. Responsibilities will include programming
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. They will consider the use of cutting-edge deep learning algorithms for object detection and tracking, anomaly detection and other generalized data understanding tasks (e.g. behaviour understanding and/or
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demonstrations. The successful candidate will work at the intersection of multi-disciplinary modelling, advanced AI algorithms, and decision-support tool development. Responsibilities will include programming
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that enable optimal design and operation of greener vessels, backed by real-world demonstrations. The successful candidate will work at the intersection of multi-disciplinary modelling, advanced AI algorithms
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of the role is to manage the delivery of projects within assigned parameters including scope, schedule, finance, risk, quality and resource. The role will be required to: Lead the planning and implementation
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Plant Biotechnology with further PGT programmes scheduled for future delivery. Our research and teaching is supported by outstanding research infrastructure in advanced bioimaging (including super
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MBiol, while also contributing to Natural Sciences. We also run a PGT in Plant Biotechnology with further PGT programmes scheduled for future delivery. Our research and teaching is supported by