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Field
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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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implementation and evaluation. Support and co-lead pilot studies in real CBL classrooms; contribute to data collection, analysis, and interpretation of the agent's performance, attending to both technical metrics
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Survey (ESWS) data from 9 European countries and a multilevel design with employees nested in teams nested in organisations. Advanced statistical techniques will be used to perform the analyses. You will
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interviews, and the collection and analysis of primary and secondary empirical data from local communities in which public participation approaches have been conducted or are considered. Your work will build
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master levels and advancing research about the integration of cutting-edge AI and machine learning as tools to enhance the analysis, interpretation, and scalability of Remote Sensing data. The successful
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analysis? Are you inspired by applications to engineering, physics, or industrial problems? Do you thrive in a multi-disciplinary environment? Information Many of the most challenging problems in science and
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8 Aug 2026 Job Information Organisation/Company Utrecht University Research Field Communication sciences » Journalism Computer science » Informatics Researcher Profile Recognised Researcher (R2
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analysis of neural data. Analysis of pupil, heart rate, respiration, DeepLabCut, Facemap, or other video-based behavioural measures. Experience with collaborative and open-science workflows. Additional
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with academic partners. Job requirements We are looking for a highly motivated researcher with a strong background in atmospheric measurements and data analysis. You will have: A PhD in atmospheric