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inspirational learning and impactful research at the heart of this strategy, recognising our academic expertise as our greatest asset. The Team You will be working as a Cyber Security Analyst (Trainee) as part of
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researchers, under the supervision of Prof David Wedge. Collectively, this team has expertise in the analysis of multilevel omic and imaging data; data integration and machine learning; risk prediction. This
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methods based on machine learning, and developing and applying simulation methods and models for equilibrium and nonequilibrium molecular dynamics simulations. You will model meta-lactamases enzymes
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culture or legal practice-oriented and legal skills teaching. These posts are open both to those with a research background and to those with legal practice or teaching and learning experience who will be
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Design of a Fault Detection System for AI-Assisted Adversarial Attacks on Industrial Control Systems
AI-assisted adversarial attacks. You will work on topics such as cybersecurity, intrusion detection, adversarial machine learning, industrial automation, digital twin technology, and reinforcement
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Electrical Engineering or Fluid Mechanics. We welcome applications from those with research and teaching interests in the broad field of electrical engineering, power electronics, machines and drives. We
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environments Enjoys helping others learn and grow Is confident using lab or workshop equipment like cement mixers, hydraulic presses, and testing machines Has worked with materials like concrete, soil, or timber
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potential to contribute machine learning expertise in the context of data systems ranging from ground-based spectroscopy (e.g. WEAVE) to medical imaging (i.e. SPACE/IMAXT). The successful candidate will have
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through various channels, including email, one-on-one meetings, and an online studio space. You will work closely with the course and module leaders to enhance the student learning experience. The role
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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