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of Trustworthy AI and Cybersecurity. In this research-focussed role, you will lead and contribute to cutting-edge projects focused on evaluating, building, and deploying secure software systems powered by AI
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validate wearable data algorithms, software tools and pipelines supporting large-scale, multi-cohort research. It will contribute to the ProPASS federated data analysis platform, including testing
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econometric skills and experience using statistical software such as Stata, R or Python. You will bring demonstrated experience in empirical research, survey design or implementation, data analysis and research
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our world-class facility. This isn’t just a lab role. This is a pivotal position where you will act as a scientific consultant, an innovative method-developer, and a key research driver. You will work
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them The Opportunity This Research Fellow will be responsible for development and implementation of software solutions to support high-throughput crystallography (HTX) experiments. The appointee will
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work with pioneering bedside monitoring tools, such as ICM+ software, and support the delivery of major multi-centre clinical studies, including BONANZA-GT and PRECISION-TBI. Working closely with
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neuroimaging software, scripting languages and high-performance computing. Experience working with large datasets such as ABCD, together with an interest in non-suicidal self-injury, suicide research or emotion
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. This is a unique opportunity to work with pioneering bedside monitoring tools, such as ICM+ software, and support the delivery of major multi-centre clinical studies, including BONANZA-GT and PRECISION-TBI
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statistical analysis, manuscript preparation and peer-reviewed publications. Strong proficiency in R and other statistical software, together with experience in managing and analysing large-scale clinical
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reports and maintain strict standards of confidentiality and data privacy. Tech Know-how: High proficiency in standard software (Microsoft Office, data analysis tools) and a readiness to learn specialised