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Field
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AI-electronic systems, ensuring secure communication and operation. Side-Channel Attack Mitigation: Implement techniques to protect systems against side-channel attacks, safeguarding sensitive
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Discipline: Engineering & Technology, Civil Engineering Qualification: Doctor of Philosophy in Engineering (PhD) Eligibility: All qualified candidates (both UK and International students) Award
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inductance, ensuring uniform current sharing among parallel devices, and developing effective thermal management solutions tailored for low-temperature operation. Additionally, the project will explore robust
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Biomedical Campus. You will join an exciting research programme investigating fundamental mechanisms of ribosome assembly, translational control and how defects in these processes drive cancer development
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drive the gradual development of these technologies toward real-world applications. This involves engineering experimental hardware for cell culturing workflows, optimizing experimental processes, and
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of generative models by introducing a training regime inspired by the Thinking, Fast and Slow paradigm. Recently, the use of RL has been shown to significantly improve the performance of LLMs. The goal
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with transferable expertise applicable across AI-driven domains. Application Process To apply, please send a CV, cover letter, and transcripts to Dr Christopher Wood (christopher.wood@nottingham.ac.uk
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. Application Process To apply, please send a CV, cover letter, and transcripts to Dr Christopher Wood (christopher.wood@nottingham.ac.uk ) and Dr Grazziela Figueredo (g.figueredo@nottingham.ac.uk ). Informal
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environments such as low light, heat haze, and adverse weather is significantly difficult. These conditions not only degrade video quality but also complicate interpretation by humans and machines, making post
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at the point of commencing this post, with experience in contemporary molecular cell biology, tumour metabolism, experimental modelling and bioinformatics as applied to translational cancer genomics, ideally