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A Machine Learning Enabled Physical Layer for 6G Radio Systems
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noise, and communication delays. The challenge lies in ensuring the desired behaviour of an infinite-dimensional system with limited computing, sensing, and actuating resources. To tackle
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Funded UK Students Dr Alistair John, Prof Viktor Fedun Application Deadline: 20 June 2025 Details R2T2 is a UKSA-funded doctoral training programme dedicated to academic research in rocket propulsion
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responsibilities Provide a first point of contact within the practice for patients presenting with undifferentiated, undiagnosed problems, making use of skills in history taking, physical examination, problem
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@royce.ac.uk. For application-related queries, please contact Sharon Brown (sharon.brown@sheffield.ac.uk). Please note that each partner of the CDT in Materials 4.0 will have its own application process. If you
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application. Candidates must be able to demonstrate a keen interest in semiconductor materials and devices, with a solid background in semiconductor physics/engineering, evidenced through strong performance
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to establish a research portfolio and technology roadmap around the remit of the development of AM processes, materials, AM process simulations, online/offline process monitoring and control tools as
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families. The main role of this post will be to support and lead on delivery of an innovative process evaluation embedded within a 12-site UK-wide implementation trial of non-invasive ventilation in people
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Design of a Fault Detection System for AI-Assisted Adversarial Attacks on Industrial Control Systems
Design of a Fault Detection System for AI-Assisted Adversarial Attacks on Industrial Control Systems School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Aryan
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For informal enquiries about this job contact Prof. Spencer Collis, Project Lead: at s.collis@sheffield.ac.uk Next steps in the recruitment process It is anticipated that the selection process will take place in