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healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
). Probabilistic and reliability-based analysis applied to underground structures. Advanced subsurface characterization techniques integrating geotechnical and geophysical data. Geohazard mapping and modeling
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, and comparisons to AGN and other compact objects, are also studied. A host of techniques and approaches will be employed, in particular using a wealth of multi-wavelength data of transient XBs
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on natural language processing, computational linguistics, and data science. The main lab research areas are Arabic natural language processing (orthography normalization, grammatical error correction
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areas: Setting the immersive virtual reality experiment, building the choice experiment, managing and running the field experiment, analyzing the data and estimating users’ preferences for Automated Taxis
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/faculty-positions.html for instructions and information on how to apply. If you have any questions, please email mfd6@nyu.edu . About NYUAD: NYU Abu Dhabi is a degree-granting research university with a
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infrastructure monitoring, as well as connected autonomous vehicles Integrating multi-modal sensor data with physics-based models Developing robust and adaptive methods for real-time parameter and state estimation
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Opportunity Statement For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment
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: Please submit the following documents in PDF format: Detailed CV Transcripts of Master’s and PhD degrees Research statement (max 2 pages) Three representative publications Contact information for three
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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