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. The proposed research examines judgment accuracy in the intensive care unit (ICU), You will investigate whether algorithmic advice can improve clinicians’ judgments, whether independent judgments or peer
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methods for eliciting and aggregating safety specifications and risk thresh-olds for AI systems, with a particular focus on mechanisms that provide axiomatic guarantees, are algorithmically tractable, and
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, ballistocardiography, and bio-radar) in combination with machine learning based algorithms for time series analysis into the whole OSA diagnosis and treatment pathway. During diagnosis unobtrusive sensors that can be
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methods for eliciting and aggregating safety specifications and risk thresh-olds for AI systems, with a particular focus on mechanisms that provide axiomatic guarantees, are algorithmically tractable, and
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investigate how machine-learning based algorithms can be used to personalize the user experience. The goal of this personalized user experience is to enable each individual user to discover their own
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partners. The successful applicant is expected to carry out research on the algorithmic foundations of digital platforms for large-scale deliberation. The research has the potential to directly inform the
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a large interdisciplinary consortium of digital democracy researchers as well as several societal partners. The successful applicant is expected to carry out research on the algorithmic foundations
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specific interest in dynamics and effects over time. Such questions are not limited to one charitable cause, but can also involve the interplay between multiple charitable causes. In this project, you will
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-time appointment. 8% holiday allowance and an 8.3% year-end bonus on the annual gross income. An appointment of 1.0 FTE for a period of one year, with the possibility of extension as this is a multiple
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on the annual gross income. An appointment of 1.0 FTE for a period of one year, with the possibility of extension as this is a multiple year project. A generous leave policy of up to 263 hours per year (based