66 computational-physics-"https:"-"https:"-"https:"-"https:"-"UCL" positions at NEW YORK UNIVERSITY ABU DHABI
Sort by
Refine Your Search
-
Description The Modern Compilers Lab in the Computer Science program at New York University Abu Dhabi, seeks to recruit a research assistant to work on the intersection of compilers and deep
-
possibility to investigate cutting-edge interdisciplinary questions within the theoretical and fundamental aspects of Computer Science and Engineering, Mathematics, and Physics, from various points of view and
-
systems to applications in urban science, planning, and decision support. Qualifications Required: PhD in Computer Science or a related field, with a focus in databases, data systems, theory, or algorithms
-
competitive salary and benefits. Research in the SIT-D lab focuses on understanding and modelling consumers' behavior and decision process for sustainable transport modes and transport innovations. Research is
-
Description The 19 Washington Square North (WSN) Faculty Fellows program is pleased to announce the call for AY 2026-27 Fellowships, made possible by the generous support of the NYU Office of
-
primarily research on Reinforcement Learning, and/or Optimal Control, and/or Model Predictive Control. RISC invites qualified applicants in the areas of electrical, computer, or mechanical engineering, or
-
in one of the following: Data Science, Computer Science, Computational Social Science, Information Science, Statistical Physics, or any other related field. The skills that we are looking for include
-
collaboration partners. The Center possesses the unique possibility to investigate cutting-edge interdisciplinary questions within the theoretical and fundamental aspects of Mathematics, Physics, and Computer
-
possibility to investigate cutting-edge interdisciplinary questions within the theoretical and fundamental aspects of Computer Science and Engineering, Mathematics, and Physics, from various points of view and
-
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