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analysis, and digital biomarkers. The department has a strong data science environment, with an additional team of three to four data scientists working across related cardiovascular research projects. As
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academic partner in AF-B-STEP, contributing expertise in AF burden quantification, AI-based rhythm analysis, and digital biomarkers. The department has a strong data science environment, with an additional
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: refining the project’s research questions, interview protocols, coding frameworks, and analytic approaches; leading one or more strands of data collection and analysis, including semi-structured interviews
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strands of data collection and analysis, including semi-structured interviews with undergraduate students and analysing coursework artefacts; analysing how students interpret, evaluate, and represent