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in working in public health or epidemiology or similar is desirable. Knowledge and evidenced experience of data science analytical packages and R or Python would be advantageous. Funding The funding
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opportunity to spend some time as a visiting or exchange researcher at the collaborating organisation Canadian Nuclear Laboratories (CNL) at Chalk River, Ontario, where you’d get exposure to applied R&D
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, structural equation modelling, visualisation, preferably in R Competences in quantitative research methods – ideally knowledge of several of the following aspects of quantitative data analysis: experimental
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and clinical data using bioinformatics software and methodologies (e.g. R/Bioconductor statistical environment) Previous specialist experience and in-depth specialist understanding of relevant
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aerospace engineering, R&D roles, or academia. The project also fosters teamwork, problem-solving, and technical communication skills—highly valued across industries. At a glance Application deadline: 23 Jul
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/index.php?r=site/view&edition=2025&id=493 with a start date of 01 September 2025 Applicants should state “Real-world quantum verification and benchmarking of noisy hardware” and the research supervisor
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Jules Taylor Pickard, Dr David D R Davies Expected Start date and location October 2025, based at Harper Adams University, Edgmond, Shropshire, UK. Funding The studentship covers the current Home Student
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experience with programming tools such as R or Python. An interest in acquiring new data science and programming skills is required. A keen interest in teaching and academic development. An excellent academic
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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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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