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that are relevant to industry demands while working on research projects in SIT. The researcher will be part of the team of the MCCS NATURE Project (https://www.nparks.gov.sg/Cuge/Programmes-Schemes/Research
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studies coding transcripts which may include developing high-quality code for data preparation and data analysis using commonly used computer languages carrying out descriptive data work including
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undertaking observations or focus groups setting up surveys in web-based survey tools and collecting online data support in developing and writing up case studies coding transcripts which may include developing
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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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. 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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ability to write clean, well-documented analysis code. Ability to work with EEG data and apply multivariate methods to extract meaningful measures relevant to memory and consolidation. Skilled in developing
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code of research conduct and research ethics. The Institute of Mental Health and MindTech are committed to ensuring that the perspectives of those with lived experience are at the heart of everything we
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opportunities, public interest disclosure, health and safety, intellectual property and patenting, data protection or any other rules, regulations or codes binding on the member of staff. Participate in
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strong numerical background with proficient programming skills and a proven research record through publications and code development. Experience in developing discrete element models (DEM) or hybrid