8 engineering-image-processing-phd Postdoctoral positions at NEW YORK UNIVERSITY ABU DHABI
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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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correlations, probabilistic evaluation, scalability). Prototype and evaluate data system components or extensions to existing open-source engines. Publish in top-tier conferences (SIGMOD, VLDB, PODS, ICDE, ICDT
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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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skills. Strong analytical and communication skills; ability to work both independently and collaboratively. Desirable: Familiarity with modern in-process or embedded query engines (e.g., DuckDB, SQLite
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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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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