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systems. These Cyber-Physical Systems (CPS) combine physical processes with digital computation, and are therefore exposed to threats in both domains. While security measures such as encryption and
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Faculty of Science and Engineering’s vibrant doctoral research community, committed to delivering excellent research with real-world impact. This project sits within Manchester Met’s AI, Digital and Cyber
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digital signal and image processing, IoT, cyber security, deep learning, and software systems. Applications in healthcare, multimedia, and sustainable urban environments are encouraged. School
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Microfluidics and lateral flow assay engineering Translational diagnostics and AMR-focused assay development Digital image analysis and Python-based data processing The project includes opportunities
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, embedded systems, advanced implant probe design and signal processing. There are opportunities for students from a variety of backgrounds to work on the following possible projects: Bionic Vision
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performance simulation capabilities for gas turbine engines developed at Cranfield University as the starting point. Applications are invited for a PhD studentship in the Centre for Propulsion and Thermal Power
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no generalised agreement about the qualities that determine whether the model is good or not. The focus of this project is whether the model is good enough for the point in a project’s lifecycle and not whether
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(behaviour, digital society, environment, health/social care, security/risk), ranging from UPF overconsumption to managing grassland in urban green spaces, conspiratorial thinking in adolescence to AI and free
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of Human, Social and Political Science. BSPP has an ambitious growth plan including launching an M.Phil in Digital Policy alongside an expanded M.Phil in Public Policy, and the development of a new PhD
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electronics, embedded programming, signal processing, vibration measurement and analysis, maintenance engineering, and electro-mechanical engineering. Funding This is a self-funded PhD. Find out more about fees