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Field
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processing environmental exposure and health administration data via Application Programming Interfaces (APIs) proficiency using statistical programming software such as R, SAS, STATA and Python; and GIS
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Machine learning/AI based classifiers Proficiency in coding using R and Python and other similar languages High level analytical capability Ability to communicate complex information clearly Informal
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the creation of robust early warning and stress classification pipelines in close collaboration with fish farming industry R&D. This role complements ongoing work in AI-based decision-making and is ideal
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. Familiarity with statistical analysis software (e.g., STATA, R, SPSS) or computer programming (e.g. C++, Python, R) and experience working with health-related data will be advantageous. The ability to work
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data in R. Experience studying biotic interactions as preserved in the fossil record. Experience with identifying late Cenozoic molluscs. Experience with assembling a database and data analyses
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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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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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ability to think critically about scientific analysis in order to ensure robust results Computational skills to include experience of using a statistical package (e.g., R, MATLAB or Python) Ability to work
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and innovation (R&I) ecosystem. This is a unique opportunity to establish or expand your research programme in the UK, collaborate with world-class researchers, and contribute to national and global
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to the challenging problem of rearrangement scattering in molecular matter-antimatter collisions. We will develop and apply the R-matrix method to systems such as molecular hydrogen ion interacting with an antiproton