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A Machine Learning Enabled Physical Layer for 6G Radio Systems
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computer-based models of manufacturing process, allowing for analysis, optimisation and visualisation of operations before physical implementation. It is a sought after skill in many high-value manufacturing
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Next Generation Aero-Engine Sealing Technologies
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quantitative skills in network modelling, information theory, and time-frequency coherence analysis, providing interdisciplinary training at the interface of neuroscience, physics, and computer science
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training in a wide range of multidisciplinary skills including genetics, cell biology, live imaging, molecular biology, computational modelling, data analysis, scientific writing and communication as
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Avalanche photodiodes for detecting weak infrared optical signals School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Jo Shien Ng Application Deadline: Applications
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Advanced Carbon Fibre Composites using Next-Generation Additive Manufacturing (CFAM) School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Patrick Fairclough
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Next-Gen Rapid and Interactive Limit Analysis of 3D Shell Structures with Integrated Parametric Modelling (S3.5-MAC-He) School of Mechanical, Aerospace and Civil Engineering PhD Research Project
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relevant field (e.g., Neuroscience, Psychology, Computer Science, Mathematics, Engineering, Physics, or a related discipline). - A keen interest in computational neuroscience and/or computational psychiatry
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, training opportunities or internships in science policy, science communication and beyond. Further information on the programme and instructions on how to apply, including a link to the application portal