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Description As part of the Electrical Engineering program of the Engineering Division and the Center of Artificial Intelligence and Robotics at NYU Abu Dhabi the group of Prof. Kyriakopoulos seeks
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to develop novel enabling technology on hydrodynamic stability analysis that has applications in the study of the development of singularities, the long-time behavior of complex systems, the formation
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Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi
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developing novel medical devices for ultimate human use. The successful applicant will join several fascinating projects on engineering novel approaches to improve the diagnosis and therapy of metabolic
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the eye and brain that explain vision loss, building on our previously-developed method linking clinical, neural and behavioral data (Allen et al., 2018; Miller et al., 2019; Pedersini et al., 2023). We
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/HCPs in AD and work in collaboration with respective commercial counterparts in engaging KOLs from a medical perspective Develop, maintain and implement KME/HCP engagement plans to build and maintain
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with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form
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that amplify human potential. The successful candidate will engage in innovative research projects in ML, focusing on developing novel ML algorithms, enhancing human-AI collaboration, and exploring systems
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Post-Doctoral Associate in the Center for Translational Medical Devices (Modeling) - Dr. Rafael Song
developing novel medical devices for ultimate human use. The successful applicant will join several fascinating projects on engineering novel approaches to improve the diagnosis and therapy of metabolic
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developing novel medical devices for ultimate human use. The successful applicant will join several fascinating projects on engineering novel approaches to improve the diagnosis and therapy of metabolic