Sort by
Refine Your Search
-
experimental data. Required Qualifications: A successful applicant must have a PhD in Engineering Mechanics, Civil Engineering, or Mechanical Engineering. Applicants are expected to demonstrate research
-
Research / Post-Doctoral Associate in the Division of Science Computer Science, Dr. Djellel Difallah
machine learning. The successful applicant will participate in research involving human computation, knowledge discovery, machine learning, and data science. The position will provide the opportunity
-
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
-
-edge machine learning, including Large Language Models (LLMs), to enhance decision-making and planning in robotic systems. Qualifications: Applicants must have a PhD in Robotics, Control Theory
-
newly established fluid dynamics laboratory at NYU Abu Dhabi, candidates are expected to have a strong interest in experimental research and collaborate with applied mathematicians closely. PhD holders
-
life-cycle assessment. The post-doctoral associate will be expected to lead research efforts and contribute to publications in reputable academic journals. Qualifications: A PhD in Civil and
-
Postdoctoral Associate in the Division of Engineering (Civil and Urban Engineering) Dr. Tarek Abdoun
successful applicant must have a PhD in Geotechnical Engineering, or a related field with a focus on one or more of the following: Artificial intelligence applications in geotechnical engineering
-
the eye and brain that explain vision loss, building on our previously-developed method linking clinical, neural and behavioral data (Allen et al., 2018; Miller et al., 2019; Pedersini et al., 2023). We
-
: Robot modelling, Nonlinear and Optimal control, Reinforcement learning, and Data-driven modeling and control. The Post-Doctoral associate will be based at NYU Abu Dhabi and will directly report to Prof
-
opportunities with center members. For more information about the center, please visit our website at https://nyuad.nyu.edu/en/research/faculty-labs-and-projects/center-for-smart-engineering-materials.html