19 development-"https:"-"https:"-"https:"-"UCL" Postdoctoral research jobs at NEW YORK UNIVERSITY ABU DHABI in United Arab Emirates
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successful applicant will lead an innovative project focused on developing advanced, high-flux membrane technologies tailored to the unique and extreme water conditions of the Arabian Gulf. He/she will tackle
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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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metasurfaces, and tri-hybrid MIMO systems, with a particular emphasis on near-field propagation regimes relevant to ultra-massive MIMO systems. The candidate is expected to develop physically-consistent
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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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Description The Water Research Center at New York University Abu Dhabi seeks to recruit a Post-Doctoral Associate to develop calix[n]arene-based covalent organic frameworks for water purification
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
to develop applied research skills in machine learning, interact with an international network of collaborators, and gain post-doctoral research experience. The ideal candidate is self-motivated and can work
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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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on Macro, Labor and/or Development Economics. The appointment is for 2 years and will begin September 1, 2026, subject to final budget approval and UAE visa acquisition by the prospective post-doctoral
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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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on accelerator developments towards the HL-LHC. Expertise in trigger development, performance and optimization and/or the ATLAS computing model is preferred. The selected candidate will work in the ATLAS