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About the role - The candidate will focus on Gage Repeatability & Reproducibility (Gage R&R) validation of a new video scope inspection system for turbine blade assessment. The objective is to
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that support strategic engagement. Liaising with internal teams such as Finance and Research Support, you’ll ensure compliance and smooth delivery of R&D projects. The successful candidate must have a degree or
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date 1 October 2025 References i) Tuerena, R. E., Mahaffey, C., Henley, S. F., De La Vega, C., Norman, L., Brand, T., ... & März, C. (2022). Nutrient pathways and their susceptibility to past and
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are among the extra benefits offered by St George’s, University of London. Please quote reference: 711-25-R Closing date: 1st September 2025 Interview Date: TBC
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innovation projects? Can you work with a network of colleagues across the institution to deliver and develop a high-quality service? An exciting opportunity has arisen to join the Research & Innovation (R&I
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with a background in cognitive psychology, data science or computer science and a willingness to develop skills in computational models of cognitive processes, statistical methods, and programming (R
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degree, ideally a doctoral degree, in a relevant topic. The post requires strong quantitative skills with expertise in a common statistical package such as Stata/R and the ability to work with large
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skilled and analytical Energy Systems Engineer to join our core R&D team. As the third member of our technical team, you will play a pivotal role in advancing our technology from a laboratory prototype to a
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, Skills and Experience Broad knowledge of statisticsSkills in programming languages such as R and/or Python Experience of applying statistics to solve complex real-world problems Ability to handle a diverse
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that presents a unique, exciting – and high-profile - opportunity to shape the future of healthcare research and innovation (R&I) in NHS Lanarkshire, and to drive forward, strengthen and further