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Field
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of our key research directions relevant for this position. Candidates should have (or be near to completing) a PhD in Computer Science or a related subject, or relevant experience. A high degree of
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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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of health and wellbeing in middle aged women. The successful candidate will join a thriving research department examining how nutrition can improve health, wellbeing, and exercise performance. As this project
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supervisor and it is also expected that the student will spend some time at the ITP Aero Hucknall site throughout the PhD. Titanium and Nickel alloys are strategically important in aerospace due to their high
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computational tools to support the safe and ethical deployment of AI in clinical settings. The research focus is on AI performance monitoring, distribution shift detection, bias assessment, and stress testing
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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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stakeholders. Demonstrated ability to manage iterative feedback cycles and refine deliverables accordingly. The skills, qualifications and experience required to perform the role are: A PhD in Computer
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alongside numerical simulations relying on high-performance computing and reduced order modelling. We aim to gain new insights about the physical coherent structures which are most relevant to viscoelastic