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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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and numerical models as well as constitutive model calibration and validation based on physical experimental data. Required Qualifications: A successful applicant must have a PhD in Engineering
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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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more complete picture of how processing speed is related to health outcomes. The candidate will work in a multidisciplinary environment consisting of PhD-level scientists, graduate students and
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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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models related to modern data management challenges (e.g., query feasibility, data correlations, probabilistic evaluation, scalability). Prototype and evaluate data system components or extensions
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experimental data. Required Qualifications: A successful applicant must have a PhD in Engineering Mechanics, Civil Engineering, or Mechanical Engineering. Applicants are expected to demonstrate research