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, MSSQL, Oracle, etc. Experienced in git and CI/CD (e.g. Jenkins, Gitlab, etc). Experienced in using LLM’s and coding agents. Good in troubleshooting and solving problems. Able to administer Linux and
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. We will also consider candidates who have extensive C++ or Python coding knowledge as these are transferrable to R. The candidate will be working with the Principal Investigator(s) on the analysis
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grading and other course administration tasks, exam/test invigilation etc. Able to teach and/or support at least 3-4 BT/IS-coded courses, with at least 1-2 foundational courses at levels 1000 and 2000. See
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protocols d) Code parenting sensitivity using established coding frameworks e) Conduct literature searches, analyse data, and assist in the preparation of progress reports and final project reports, where
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tools such as Power BI, Power Automate, low-code platforms, or other data analytics tools will be an advantage. Strong understanding of academic operations and student lifecycle processes, with
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prototype deployment; assist with basic UX refinement based on clinician and end-user feedback. - Maintain high-quality documentation of datasets, code repositories, model versions, experimental protocols
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rigorous data management, cleaning, coding, documentation, and reproducibility practices. Synthesise research findings and translate them into actionable insights for policy, practice, and intervention
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research questions. Write, test, and maintain research code using Python, R, and relevant bioinformatics tools. Perform data preprocessing, quality control, feature extraction, and downstream analysis
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community sampling (e.g. community centres, clinics, via social media platforms). Organize the collection of datasets Overview and standardize protocols for data coding, data entry and data analysis
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PowerFactory, Siemens PSS-E, ETAP Configure and Conduct hardware-in-the-loop (HIL) and software-in-the loop (SIL) platforms using OPAL-RT / RTDS solutions. MW-scale Grid converter modelling approaches, grid code