21 development-"https:"-"https:"-"https:"-"Mines-Paris-PSL" Postdoctoral positions at NEW YORK UNIVERSITY ABU DHABI
Sort by
Refine Your Search
-
Listed
-
Field
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
management. Develop and validate computational models for monitoring and predicting infrastructure performance. Collaborate with faculty and researchers across SHORES. Disseminate research findings through
-
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