57 computational-physics-"https:"-"https:"-"https:"-"https:"-"UCL" positions at NEW YORK UNIVERSITY ABU DHABI
Sort by
Refine Your Search
-
of the advertised topics, as well as an excellent academic record. Candidates with PhDs in Physics or Computer Science may also be considered if they willing to collaborate with mathematicians on these topics
-
Description The newly established NYUAD Wireless Research Center at New York University Abu Dhabi, seeks to recruit a Post-Doctoral Associate (PDA) to engage in cutting-edge research on the physical
-
, Computer Science, Engineering, or a related field The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates
-
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
-
for physical systems. The postdoc will work on projects focusing on one or more of the following: Robot Learning & Autonomy – Developing algorithms that allow robots to learn (via exploration or imitation) from
-
of cyber security. Applicants must have a BSc with any level of experience, or MSc with less than 5 years of experience, in Computer Engineering or related field. Responsibilities of the Position: Conduct
-
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
-
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
-
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
-
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