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candidate with expertise in the following four areas: (1) working with large-scale digital trace data; (2) building and running natural language processing and machine learning workflows; (3) experimental
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in at least one of the following: Social Robotics, human-robot interaction, human-computer interaction, Machine Learning, Affective Computing, Social Signal Processing, Computer Vision and speech
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project focused on the development machine-learning powered digital twin system for the structural performance of civil engineering structures. The project is a collaboration between multiple research
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project focused on the development machine-learning powered digital twin system for the structural performance of civil engineering structures. The project is a collaboration between multiple research
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newly established center, it represents a timely initiative that aligns closely with the UAE?s vision to lead in the digital era. Through close collaboration with industry and other stakeholders, NYUAD
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Post-Doctoral Associate in the Center for Translational Medical Devices (CENTMED) - Dr. Panče Naumov
lubricious coatings for catheters to minimize injury to blood vessels during the trans-catheterization process. They will characterize the surface modifications of implants using microscopy techniques
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equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic
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committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed
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privacy rights under GDPR: www.nyu.edu/it/gdpr NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process
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Robotics, Controls, AI, Computer Vision, and Hardware Security The Control/Robotics Research Laboratory at NYU invites qualified applicants with a doctorate degree in the areas of electrical, or computer, or