124 phd-position-in-data-modeling-"UCL"-"UCL" Postdoctoral positions at NEW YORK UNIVERSITY ABU DHABI
Sort by
Refine Your Search
-
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
-
rehabilitation. The successful applicant will have the following technical experience in: PhD degree in Electrical, Mechanical, or Material Engineering (or related field) OR 3-5 years of industry experience
-
of experience post-receipt of a doctoral degree. Meanwhile, applicants for the Postdoctoral Fellow position must have a PhD, MD, DDS, or equivalent advanced degree from an accredited institution of higher
-
measurements for RIS enabled communication environments, as well as processing and analyzing the collected data. Applicants must hold a PhD degree in Electrical/Electronics Engineering, telecommunications
-
Physics, Spectral Theory, Quantum Chaos, Large Graphs and Quantum Walks. Related areas such as Quantum Information can also be considered. This position is offered through the research funds of Mostafa
-
23 Sep 2025 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Chemistry Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country United Arab
-
in the fluid mechanics laboratory for experimental fluid dynamics. SITE is inviting applications for fully-funded postdoctoral research associate positions. SITE is highly interdisciplinary and aims
-
Description The Laboratory for Computer-Human Intelligence (CHI-lab, https://www.x-labs.xyz ) in the Division of Engineering, New York University Abu Dhabi, is seeking a highly motivated
-
construction materials. Proficiency in characterizing construction materials, conducting electrical resistivity measurements, and performing advanced data analysis and signal processing (e.g., using Matlab
-
, Uncertainty. If you have experience and wish to explore how to build systems (both foundational or applied) that can handle uncertain or incomplete data prevalent in urban decision-making scenarios, please