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of multimodal transportation systems. Particular attention is paid to new vehicle technologies and data sources; as well as the combination of traditional traffic flow theory concepts with new empirically derived
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, a combination of these methods. Excellent communication skills in English, the ability to work in multidisciplinary teams, and scientific creativity are essential. Successful applicants are expected
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brain health. This project combines MRI and EEG/MEG studies with behavioral, genetic, and clinical measures to yield a more complete picture of how processing speed is related to health outcomes
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of multimodal transportation systems. Particular attention is paid to new vehicle technologies and data sources; as well as the combination of traditional traffic flow theory concepts with new empirically derived
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of multimodal transportation systems. Particular attention is paid to new vehicle technologies and data sources; as well as the combination of traditional traffic flow theory concepts with new empirically derived
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brain health. This project combines MRI and EEG/MEG studies with behavioral, genetic, and clinical measures to yield a more complete picture of how processing speed is related to health outcomes
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, translating into a more complete understanding of the mechanisms involved and their role in brain health. This project combines MRI and EEG/MEG studies with behavioral, genetic, and clinical measures to yield a
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brain health. This project combines MRI and EEG/MEG studies with behavioral, genetic, and clinical measures to yield a more complete picture of how processing speed is related to health outcomes
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in economics or a related field. The position requires expertise in either experimental, empirical, or theoretical methods or, ideally, a combination of these methods. Excellent communication skills in
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technologies and data sources; as well as the combination of traditional traffic flow theory concepts with new empirically derived models and data science ideas. Applicants must have received a PhD in