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. With Professor Cusack and the team, the postholder will participate in the full process from setting up awake infant fMRI, experimental design, data acquisition, analysis, computational modelling
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optimized for single-molecule mechanical manipulation. Develop, refine, and implement automated data analysis pipelines using Igor Pro (or MATLAB, Python). Mentor graduate and undergraduate students within
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through invasive catheter procedures. While these measurements provide valuable clinical information, they are costly, time-consuming and carry risks for patients. Developing reliable non-invasive
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with colleagues developing simulation models, digital twins, data architectures and federated transport/manufacturing models. This role will provide the optimisation and decision-support capability
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databases to evaluate the potential value of health innovations, covering study design, implementation, analysis, and communication of findings. This includes identifying subject areas for data extraction
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execute experiments to evaluate mechanical, thermal, and chemical properties; analyze data to inform design decisions. Failure Analysis: Root-cause investigation of material failures; recommend and validate
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researchers through data analysis, manuscript preparation, grant applications, and other collaborative outputs. Explore and pilot innovative research methods and AI-enabled research tools to enhance research
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pneumatic comparators. • Data analysis, scientific documentation, preparation of high-quality academic manuscripts and reports, as well as handling journal peer-review comments and revisions
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, support faculty in grant writing, and mentor data scientists, PhD students and undergraduate and graduate interns. Key Responsibilities : Perform independent research: own a research project from
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for liaising with other partner institutions to co-ordinate work plans. This will involve contributing to protocol development; obtaining ethical approvals; data collection and analysis; and report writing and