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-supervised by experts from Computer Science, Mechanical Engineering, and Sheffield Teaching Hospitals, ensuring a strong link between clinical application and technical innovation. CDT programme This
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for engines exhibiting varied degradation phenomena. Data-driven approaches, powered by machine learning, can offer superior performance but raise challenges of robustness and interpretability. Recent
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Adversarial machine learning - Identification and prevention of cyber-physical attacks on infrastructure (S3.5-MAC-Champneys)
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Total Cost and Environmental Footprint of Metalworking Fluids (MWFs): Quantifying the Current Landscape and Scoping Next-Generation Alternatives (C4-AMR-Secker)
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role in coordinating and organising the placement activity for specific course areas ensuring placement provision is carried out efficiently whilst maintaining a high level of accuracy. You will also
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high level of integrity. Reporting directly to the Security Supervisor, you will respond to incidents and patrol University premises in line with safety and security procedures. When performing control
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with a high degree of accuracy and attention to detail and will have previously supported student or programme related processes. They will also be able to build effective relationships with staff and
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assess performance under realistic conditions. The project offers hands-on experience in heterogeneous catalyst preparation, HPLC analysis, porosimetry, chemisorption, XRD, and NMR, as well as kinetic and
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decision making on programme design, approval and delivery. Oversight of the processes that support administration of the curriculum, including leading on programme and module development, amendment and
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Award at the University of Sheffield. Modern engineering relies heavily on computational models that predict how structures behave under real operating conditions. These models simulate how assets such as