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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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proficiency in Python (e.g., NumPy, Pandas, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise: Familiarity with supervised
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/computational biology/molecular biology/genomics or related area. The successful candidate will have considerable experience in computational bioinformatic analysis (R, Python or equivalent) of omics data and
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this role. Please note that applications sent directly to this email address will not be accepted. Closing Date: 29 Oct 2025 Category: Research and Teaching (R&T) Where to apply Website https
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set-up, and data collection and analysis. - Have the ability to analyse and interpret data using appropriate statistical packages (e.g., conducting linear mixed effects models in R). - Have experience
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Level 5 Senior Research Fellow based on the University’s Research & Teaching (R&T) Job Family and salary spinal points, to be able to recruit applicants with a higher level of experience that will support
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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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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