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and empathic behaviours most effectively improve patient outcomes. In this role, you'll conduct NMA, perform data analysis, and contribute to research output. Your work will inform future NIHR funding
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vulnerabilities. Frontier models show superior performance when combined with a focused knowledge base and multi-agent architectures. However, in most cases human involvement is still required, and fully autonomous
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that positively develop their workplace relations, environments, cultures, and behaviours. The successful applicant will work with sports coaches recruited from high performance sport, national governing bodies
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or surface plasmon resonance), mass spectrometry, analysis of protein structures or enzymology • Be able to demonstrate a high level of expertise and success in the previous research areas, e.g. by
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be used effectively as a performance digital twin to generate high-quality engine performance models and produce required training data for the proposed project. This could be a good starting point for
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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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Verification Tools: Develop AI algorithms that automate the verification process, ensuring systems meet required safety and performance standards. Health Monitoring Algorithms: Implement AI-based monitoring
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experiments; supporting other group members with data analysis and interpretation from both simulations and experimental data; and use the developed framework to design new materials with optimised performance
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Learning Centre (SUSIM ). Further support from AIM will enable deeper insight to material performance and failure through a variety of imaging techniques including micro-CT and digital volume correlation
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activation and regulation of inflammasomes. Your day-to-day work will involve designing and performing experiments using a range of techniques including Western blotting, ELISA, immunofluorescence microscopy