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the context of computing Familiarity with research tools and methods, including statistics platforms like R and/or thematic analysis Knowledge of user-centred design and research methods involving human
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R&D (6.8% of turnover in 2022) and material science expertise make it an ideal industrial partner. Candidate Profile We welcome applicants with a strong academic background (first or upper second
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methods experience. Quantitative applicants are expected to have worked with large datasets or equivalent project experiences, and have programming skills such as R coding (preferable) and communication
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Civil Engineering PhD Research Project Directly Funded UK Students Prof R Dwyer-Joyce Application Deadline: 30 December 2025 Details Novel Sealing for High-Pressure H2 and Low-Carbon Storage Technologies
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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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, 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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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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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