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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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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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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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and its stakeholders. You should hold a Master’s or PhD (desirable) in Computer Science, Artificial Intelligence, Machine Learning or a closely related field. We are looking for a candidate who has
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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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Bezares (numerical relativity), Dr Stephen Green (gravitational waves, data analysis including machine learning, black holes), Dr Laura Sberna (gravitational waves, black holes, and environmental effects
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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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proud to be a signatory of the Armed Forces Covenant. an accredited Disability Confident Leader ; autism friendly university , committed to building disability confidence and supporting disabled staff
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, engage with research that will inform teaching, and actively support recruitment and outreach activities, such as open day and school liaison events. You will teach across our BSc Geography and BSc
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, and space hardware. This PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust