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for submission to funding bodies Strong analytical and computational skills in health data science Understanding of generative AI technologies in the development and enhancement of digital health tools Experience
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Lead project planning, data collection and analysis to generate high-quality, reproducible research outcomes Prepare manuscripts for publication in high-impact journals and contribute to grant proposals
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data, log-trace data from learning platforms, and panel data. Relevant areas of expertise include longitudinal data analysis, psychometrics, learning analytics, and machine learning. We are particularly
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looking for a talented AI researcher with a degree or equivalent level 6 qualification, or higher qualification in a relevant discipline, as well as a PhD (or equivalent level 8 qualification) in AI, Data
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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during the employment period. Qualification requirements The successfull candidate must have: a PhD in law, the PhD thesis must have been submitted for evaluation within the application deadline
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appropriate. Job Requirements: PhD in Artificial Intelligence, Computer Science, Data Science, Psychology, Public Health, Biomedical Engineering, or related discipline. Evidence of productive history working in
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regarding the collection and analysis of data collected in Global Control of HPV Related Diseases Research Program. Housed within the Faculty of Medicine, the School of Population and Public Health (SPPH) is
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11 Mar 2026 Job Information Organisation/Company RUĐER BOŠKOVIĆ INSTITUTE Department Division for Marine and Environmental Research Research Field Biological sciences Researcher Profile Recognised
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contribute to both experimental and analytical workstreams by working closely with various research teams to deliver project aims. In this role, you will also support research operations including grant