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supported cooperative learning documented by a PhD dissertation and/or research publications. experience in the self-directed management of research projects experience in interdisciplinary research projects
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, and machine learning methods will be highly desirable. Experience in development and use of EC-Earth (European Community Earth System Model) in relation to aerosols and clouds will be highly desirable
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analyses using Danish register data and/or large genetic datasets. This may include genetic analyses, causal inference, epidemiological analyses, and clinical prediction modelling using machine learning
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applicant will be expected to teach in English. Qualifications Applicants must have a PhD degree or document equivalent qualifications in a relevant field related to STS, information studies or neighbouring
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such as Design Research, Interaction Design, Co-Design, Human-Computer Interaction or Computer Supported Cooperative Work as documented by a PhD dissertation and/or research publications experience in