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project focuses on developing methods to assess the sustainability of nearly 100 nationwide AI systems within the National Lab on Education and AI (NOLAI). You will create methods to predict energy
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newly collected survey data, which you will link to CBS register data, using advanced statistical methods. The data collection will be executed by KBA in collaboration with NCO, but you will be involved
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. Research methods include computational modelling, brain imaging (fMRI), machine learning, behavioural methods, and other techniques. Virtually everything we sense, think and do is uncertain. For instance
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qualitative research methods. You have excellent coordination and organisation skills. You have excellent English language and academic writing skills. You are a team player. You preferably have a working
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, molecular biology, or a related field. You are motivated by deep scientific curiosity, have excellent experimental and quantitative skills and possess a drive to learn and develop new methods and concepts
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deep scientific curiosity, have excellent experimental and quantitative skills and possess a drive to learn and develop new methods and concepts. You have excellent verbal and written communication
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control, as well as observe important chemical or biological reactions related to life sciences. Among several optical methods for measuring gas concentrations, absorption spectroscopy with broadband, laser
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Master's degree in spatial planning, geography, geo-information science, environmental science, or a related field with a focus on GIS for society. You have strong analytical and research skills. You are
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to contribute to the general research programme of both CHPS, which studies philosophy and science as historically intertwined fields, and RCNP, which seeks to improve ties between mathematics, physics, and the