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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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including next-generation sequencing, bioinformatic analysis (R and/or python), mammalian cell culture. The post holder will be comfortable working both independently and in a collaborative environment. What
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experience of data science analytical packages and R or Python would be advantageous. Funding The project is funded by the UKHSA and Nottingham University Business School. As a UK public body, UKHSA can only
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very good working knowledge of statistically packages such as SPSS, AMOS, Stata or R Experience of cleaning, recoding and cataloguing large and complex data sets suitable for time-dependent
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into commercial R&D, and participate in government and industry working groups. Impact and Career Development This project aligns with EPSRC and University strategic priorities in energy, decarbonisation, and AI
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delivers high-impact teaching, research, and industrial collaborations. The project sponsor Dynex Semiconductor is a leading international high power semiconductor business, and has a manufacturing and R&D
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International Relations. The ability to teach quantitative methods using R is an essential criteria for the role. Working as part of a team you will be expected to plan and manage your own teaching in a variety
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with research experience, as this post is available on an R&T (Research & Teaching) contract. We also welcome applications from those who do not yet have research experience but do have a background in
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of specific funding calls and ensure these are effectively communicated across the institution. This role is to provide maternity cover. R&I provides comprehensive support throughout the research and
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at AqSorption in Nottingham, you will report to the Managing Director and work closely with AqSorption’s commercial and R&D team. Fully supported by academic experts within the University’s School of Chemistry