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Equality, diversity, and inclusion (EDI) are a key component of the University’s Strategy and a central part of everything we do. We also live by our Purpose and Values and our Staff Code of Conduct
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computing environments and reproducible workflows Expertise in managing large datasets, in uploading data science code to GitHub repository, and building dashboards Desirable criteria Experience in spatial
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packages Experience of coding How to apply Interested applicants should contact Dr Amy Harwood for an informal discussion. To apply you will need to complete the online application form for a full time PhD
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that all building work undertaken by the University is fully compliant with all relevant legislation, regulations, and standards. This includes, but is not limited to, adherence to building codes, health and
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database structures, developing a .NET-based calculation engine, and ensuring the system can scale to additional datasets and external tools. Establish secure coding practices, documentation, and automated
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operational processes; assist in drafting, updating, and maintaining standard operating procedures (SOPs) and workflows Handle routine financial administration, including POs, invoice processing, coding, spend
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we work. As a University equality, diversity, and inclusion (EDI) are a key part of the University’s Strategy and a central part of everything we do. We also live by our values and our Staff Code
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to the underlying code. The primary function of this role is the design, implementation, and maintenance of software tools intended to detect, reproduce, and mitigate flaky tests within real-world software
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Distinction at postgraduate level) and experience conducting research with human volunteers. Experience with quantitative data analysis or experience with coding/programming is desirable, as is knowledge
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and code through proactive thinking and vigorous testing, as well as iterative improvement Optimise Moodle performance, accessibility, and front-end behaviours. Engage with open-source development