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Field
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, the ability to work independently, and a collaborative mindset are essential, particularly when working with both internal and external collaborators. The position is for a fixed term of 12 months, full time
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maintenance at UKRI Rates (£20,780 in Session 2025/26) plus £600 enhancement per annum. This is an AHRC WRoCAH funded Collaborative Doctoral Award between the School of English, University of Leeds and Ripon
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, into simulation models used for health systems management. The research will provide practical and methodological contributions. The framework will offer healthcare decision-makers better tools for designing
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Award Summary This project is part of the Water Infrastructure & Resilience (WIRe) CDT with a tax-free annual living allowance starting at £25,726, a generous research training support grant + UKRI
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The Digital Mental Health Group at the MRC Cognition and Brain Sciences Unit is an innovative and collaborative research group studying the intersection between adolescent mental health, cognitive
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organizational, communication, and teamwork skills. The ability to work both independently and collaboratively within a team is also essential. The successful candidate will receive training in advanced iPSC
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powerful AI companies, in democratic security, and analysis of the development of new forms of agentic and adversarial AI that could undermine democracy. The candidate will be based in Lancaster University’s
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ability to think and work independently. Excellent Analytical skills and strong verbal and written communication skills are also essential requirements. A Masters qualification is not required if you have a
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-ion batteries, rotating machinery, aircraft fuel system, APU, and electrical power generation system). A comprehensive test-bed for in-depth studies will be used for experiments for demonstration and
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the risk of missed defects. Using the power of Artificial Intelligence (AI), this research aims to: Automate defect detection in complex 3D structural data Enhance diagnostic accuracy and processing speed