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functionality under physiologically relevant conditions. Research Programme A central challenge of miniature medical robotics is achieving sophisticated functionality within an extremely small volume. Rather than
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Are you ready to help shape the cryptographic foundations of the next generation of trustworthy, quantum-resilient AI systems? The School of Computer Science at the University of Sheffield is
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interdisciplinary programme led by Dr Thomas Paterson, bringing together bioengineering, microbiology, neuroscience and translational neurotechnology. The programme will explore whether engineered fungal networks can
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to Project Manager, Senior Project Manager and some essential operational areas. At times communication to the customer programme manager is required to support the work of the AMRC. ●Present own work and team
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to collaborate with other researchers, industry and end-users. To be admitted, candidate must meet the requirements for access (including English language) to a doctoral programme in the School of MAC
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EngD: Multi-scale analytical modelling of turning processes for digital optimisation of chip geometry for improved recyclability
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Technology (DST), and the Universities of Amsterdam, Augsburg, Melbourne and Oldenburg. Based in Sheffield’s School of Computer Science, the post holder will work with Professor John Derrick (principal
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training in Diabetes and Endocrinology with a programme of post-doctoral research, providing 50% clinical and 50% academic time. The postholder will be based within the University of Sheffield and Sheffield
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)/ Modernising Medical Careers (MMC) integrated academic training (IAT) pathway. The post forms an integral part of the CG clinical academic training programme led by the Training Programme Director Professor
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Post-Quantum Zero-Knowledge Proofs and Trustworthy AI School of Computer Science PhD Research Project Directly Funded UK Students Dr Prosanta Gope, Dr Behzad Abdolmaleki Application Deadline: 26