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standards including a maintained code repository, unit tests, and continuous integration. The successful candidate will undertake training to understand the existing QMS infrastructure in place within
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, design, coding, testing, and deployment. You will be expected to write clean, efficient code and lead on code reviews, ensuring adherence to best practices and coding standards. With a strong emphasis on
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registered select ‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: · search for the ‘Course Title’ using the programme code:8209F · Select ‘PhD Water
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code:8209F · select ‘PhD Water Infrastructure & Resilience (WIRe)' as the programme of study You will then need to provide the following information in the ‘Further Questions’ section: · a ‘Personal
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. You will have evidence of post-qualification research experience, research experience in the analysis of large biomedical or biobank datasets, a proven ability to code and a strong publication record
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and the Natural Resources Institute . The successful candidate will be part of a small but high performing team, providing competent health and safety advice, reviewing related risk assessments / codes
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software (e.g. ArcGIS, QGIS) and coding environments (e.g. Python or R), collaborating across LUMHR themes, and supporting interdisciplinary research activity. Teaching support may be required, up to a
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related field. You will bring strong analytical and coding skills, with an interest in developing robust, transparent methods and high‑quality research software. You are comfortable managing your own
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revolution that will tackle global societal challenges. Fault-tolerance is defined as the scenario when quantum error correction codes function efficiently to detect and correct a significant number of errors
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and coding standards. Monitor completeness and quality; run routine QC/consistency checks; manage data corrections and audit trails. Liaise with recruiting sites, research nurses and international