64 web-programmer-developer-"https:"-"UCL"-"U"-"P"-"St"-"https:" positions at NEW YORK UNIVERSITY ABU DHABI
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on designing and developing novel medical devices for ultimate human use. CENTMED oversees a variety of exciting projects developing new treatments and diagnostics for cardiovascular, neurologic, and metabolic
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arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network
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, development, and characterization of innovative and multifunctional construction materials, including self-sensing and self-healing systems, with applications in infrastructure, oil and gas, and energy
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on the development of omni-band wireless systems for 6G and beyond. The PDA will be jointly supervised by Elza Erkip, Qurrat-Ul-Ain Nadeem and Murat Uysal. Principal Responsibilities The PDA will conduct research
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learning, and AI-driven manipulation. This position offers the opportunity to work on real-world robotic systems and develop novel algorithms at the intersection of robot learning, control, and AI
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research on the design and development of next-generation wireless communication systems. Specific topics include, but are not limited to, waveform design for the THz spectrum under hardware constraints
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Responsibilities The PDA will conduct research to design and develop optical wireless communication systems. This involves the development of mathematical models for signal transmission/reception, derivation
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to contribute to the intellectual property development through patent filings, as well as participating in standardization efforts relevant to wireless technologies, in coordination with academic and industrial
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candidate will be involved in cutting-edge research and development in 3D computer vision and machine learning for the digital preservation of cultural heritage. The project focuses on state-of-the-art
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the research team of Prof. M. Umar B. Niazi. The position focuses on the development of digital twins using physics-informed learning approaches, with specific applications to intelligent transportation