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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
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) in engineering, mathematics, neuroscience, cognitive science, computer science or subjects where signal processing may be applied are encouraged to apply. If you are interested in doing this research
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: Applications accepted all year round Details The advent of easily accessible high performance computers or computer clusters and numerical techniques such as finite element methods (FEM) facilitates the highly
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, mathematics, neuroscience, computer science or subjects where signal processing may be applied are encouraged to apply. If you are interested in research on BCI, and are unsure about whether you have
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, neuroscience, computer science or signal processing. Funding Notes This is a self-funded research project. Full details of how to apply can be found at the following link: https://www.sheffield.ac.uk
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students can work on one or a number of these aspects. Students with good degrees on robotics, electrical engineering, computer science, mathematics, cognitive science or subjects where signal processing
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Reliable and Efficient Adaptation of Large Language Models School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Cass Zhixue Zhao , Prof Nikos Aletras Application
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-Quantum Zero-Knowledge Proofs and Trustworthy AI University of Sheffield - School of Computer Science Qualification Type: PhD Location: Sheffield Funding for: UK Students Funding amount: The PhD
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. The PhD student will expect to have certain research experience, or keen to learn the research knowledge in power systems, cyber-physical systems, computer science, information and communications
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: Computer Science Work Arrangement: Full Time (Hybrid) Contract Type: Fixed-term Salary per annum (£): £38,784 - £41,064 Closing Date: 18/10/2026 The University of Sheffield is a remarkable place