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Field
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or more of: the use of micro/nanofabrication and materials characterization tools; computational multi-physics/electromagnetics modelling and/or the application of machine learning algorithms; experimental
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), disability, marital status, sexual orientation, or military status. POSITION RESPONSIBILITIES The CECS faculty members will be responsible for three primary responsibilities: Teaching: Develop and instruct
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and Transport Systems Laboratory, equipped with cutting-edge technology that supports research in autonomous transport, decarbonisation, machine learning, travel behaviour, air transport management, and
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swarm learning experiments, and provide technical input to establish local machine learning capabilities. The post offers opportunities to work closely with academic and industry partners, both within and
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& National Security), underpinned by cross-cutting Fundamental Research. In the Environment & Sustainability Grand Challenge, we will develop machine learning and AI as a transformative technology to benefit
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the environment of a large international science collaboration Familiarity with machine learning techniques For a full list see the job description The opportunity to continue your career at a world-leading
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postgraduate-level research in Computer Science, Cybersecurity, Information Security, Information Technology, Artificial Intelligence, Machine Learning, or a related field, have experience with securing AI
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This exciting opportunity is based within the Power Electronics, Machines and Control (PEMC) and Composites Research Groups at the Faculty of Engineering, which conduct cutting-edge research
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learning. The post-holder will be familiar with the use of these techniques and experience of dataset construction and data mining will be essential. The successful applicant will have completed an MPhil/PhD
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simulations, machine learning and data analysis, and the opportunity to collaborate with experiments. This position would suit a researcher who has recently completed a PhD in Chemistry, Biochemistry