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Field
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processes such as Support to Study, Fitness to Practise, student Code of Conduct and related procedures. Working closely with colleagues across Wellbeing and Disability, the Office for Student Complaints
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channels, version-controlled code repositories, and documentation to facilitate informal support and cross-project collaboration. Assist with the administration and execution of bioinformatic workflows
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actively with industry in our research work. We seek a motivated candidate who is keen on rigorous research, the practical applications of code exfiltration and reverse engineering as well as security
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student databases of all student details, including tracking exam entries and results, degrees, Tutors, Directors of Studies, course codes, supervisors (on CamCORS), scholarships, nationality, etc
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understanding of pedagogy and how online content can guide and scaffold learning. Familiarity with large language models and prompting, including the need to check AI-generated content and code. Enough coding
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enablement. The successful candidate will take ownership of technical decision-making for low-code automation and AI services, working independently to define standards, guide delivery, and engage senior
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stages of development and actively contribute to the aims of the Fundamental Research area. The successful candidate will have experience developing software code and libraries alongside the ability
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coding in R and Python environments and experience in the development/application of a broad range of computational tools/packages for analysing omics data. The post is fixed term for a period of 12 months
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such as the Woodland Carbon Code and Peatland Code. This role sits at the intersection of environmental science, data analysis, and real-world project delivery. The successful candidate will work closely
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, that involves complex analysis of large datasets, and running multilevel models - ideally including running a MAIHDA model. Essential Application Experience of using, and skills in, coding to do quantitative