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research assistant in applied adversarial machine learning. This exciting opportunity will contribute to the D-XPERT (AI-Based Recommender System for Smart Energy Saving) project. The D-XPERT project
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unique opportunity to work with a team of academics, industry practitioners and another KTP associate, and translate AI & Machine Learning techniques to an important industry sector of port transportation
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established Neuromorphic group working on advanced machine and deep machine-learning based signal processing elements under the general leadership of working directly with Drs Pedro Freire, Yaroslav Prylepskiy
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high-impact learning opportunities for postgraduate researchers and those that support them, utilising your insights and creativity to continuously improve our offer. You will demonstrate original
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to enhance sensor data accuracy and reliability in fuel tank gauging systems by developing deep learning and physics-informed deep learning models. These models will calibrate raw pressure sensor data to
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Role Our reputation for leading in the field of AI and autonomous systems: human-centred AI, human-machine-interaction, advanced sensing, communications, machine learning, and reasoning - has been
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-interaction, advanced sensing, communications, machine learning, and reasoning - has been established through more than thirty years of research into this field. The group you would be joining is primarily
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systems by developing deep learning and physics-informed deep learning models. These models will calibrate raw pressure sensor data to capacitive sensor data and incorporate flight variables to improve
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Applications are invited for the post of Teaching Associate (Researcher Development) based within the Cambridge Centre for Teaching and Learning (CCTL). We are the University's central provider
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