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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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development of our excellent research culture and environment, supporting delivery of the University’s Research and Knowledge Exchange Strategy R-LINCS (https://www.abertay.ac.uk/research-overview/research
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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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PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets Experience in statistical or scientific programming (ideally R and/or
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economic studies funded by the UK National Institute for Health and Care Research. Experience of conducting economic evaluations using suitable statistical software (e.g. STATA, R or SAS) is essential
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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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economic studies funded by the UK National Institute for Health and Care Research. Experience of conducting economic evaluations using suitable statistical software (e.g. STATA, R or SAS) is essential
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record of technical expertise with minimum 7 years of R&D experience in food industry. Excellent knowledge and experience in food ingredients/ packaging/ processing, and their applications in food products
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Closing Date Wednesday 01 October 2025 Interview Date To be confirmed Reference EHT0767-0725-R Apply Online We’re here to create and harness knowledge, to deliver opportunity for everyone. About the Role As
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Innovation team. Do you have experience of supporting R&D and supporting technology transfer? Does cutting-edge innovation that enables world-leading researchers and creative industry partners to work together