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, enabling proactive measures against potential threats. Required knowledge Python programming Machine learning background
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experience with programming (e.g., Python), machine learning, or educational data is beneficial, it is not a strict requirement. The project provides ample opportunities to develop these skills over time. What
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/Computer Engineering, Computer Science, Applied Maths or related. Strong skills in AI techniques/ML/optimisation (Python/Matlab); familiarity with probabilistic modelling, time-series or control/power
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scientific instruments using python software and create documentation, disaster recovery plans, and production-ready systems design and implement data analysis workflow infrastructure to support computational
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. • be located at the agreed project location(s) and, if required, comply with the university’s external enrolment procedures. Selection criteria Skillset: Proficient in Python, machine learning, and
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and presentation of findings to collaborators. Develop and implement advanced analysis tools using R and Python, contributing to coordinated research outputs, reports, and manuscripts. Conduct
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: Familiarity with CI/CD pipelines, GitOps tools (ArgoCD, Flux), monitoring frameworks (Prometheus, Grafana), and scripting in Python Research Software & Data: Hands-on experience with database management
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analytical chemistry, particularly GC-MS analysis of trace volatiles Good communication and problem-solving skills Knowledge in data analytics (python or R) is desirable Knowledge in atmospheric chemistry is
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or Python) for data cleaning, analysis and statistical modelling. Implement data quality and consistency checks. Excellent written and verbal communication skills, with a high level of attention to detail
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of the drivers behind a thriving university environment. Your key responsibilities will be to: Design and deliver sustainable analytics solutions using SQL and Python Translate data into insights and guide