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position within a Research Infrastructure? No Offer Description This PhD project focuses on developing methods to assess the sustainability of nearly 100 nationwide AI systems within the National Lab
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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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assessment development is a plus. You have a strong basis in advanced statistics (e.g. mixed-effects models in R) and research methods. Experience with qualitative research and/or programming and/or
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like to work in an interdisciplinary team with lawyers, oncologists, ethicists, and AI specialists to develop algorithms and development methods for accountable AI? Then this position may be for you! In
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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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. 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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area where the novel methods will be demonstrated. You will be part of the Probabilistic Graphical Models group at the Donders Centre for Cognition and of the interdisciplinary team of researchers and
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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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, 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