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the UK. For the purposes of sponsorship, this is a role may be eligible depending on candidate circumstances under SOC code 2133. The University of Stirling recognises that a diverse workforce benefits and
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of the project. Engage with other partner institutions and industrial project partners. Attend project meetings, events, workshops, and conferences. Develop code that implements the methods developed to support
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Significant experience of monitoring multi-centre clinical trials in accordance with GCP (including source data verification) Working knowledge of the regulations, guidance and codes of practice pertaining
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using R/R Studio (or VS Code) for data cleaning, aggregation, recoding, merging, and advanced analysis (including regression). Experience producing high-quality written reports and documentation
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of accelerator physics modelling codes such as Accelerator Toolbox or ELEGANT would be an advantage. The post-holder will have the opportunity to teach. This may include lecturing, small group teaching, and
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of the University’s Strategy and a central part of everything we do. We also live by our values and our Staff Code of Conduct. At Durham we actively work towards providing an environment where our
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, building, programming, testing, and maintaining a large fleet of robots and systems. You will have a background in developing, deploying, and maintaining code which interfaces with hardware. You will have
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. Good teamwork skills. 8. Confident in delivering training sessions to the team. 9. Good understanding of safe working practices including COSHH and colour coding Desirable criteria 1. BICs Licence
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The closing date for applications is 23.59 on 25th January 2026 Candidates who do not already have permission to work in the UK should note that by reference to the applicable SOC code for this role
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experience 2. Significant experience of monitoring multi-centre clinical trials in accordance with GCP (including source data verification) 3. Working knowledge of the regulations, guidance and codes