202 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" positions at NEW YORK UNIVERSITY ABU DHABI
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
, Optimization, Machine Learning, Reinforcement Learning, Computer Vision, and Pattern Recognition, as well as contributing to curriculum development. About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi is
-
practical applications of advanced machine learning techniques. Emphasis will be given to theoretical approaches in machine learning for real-world applications, with a preferred focus on optimization, data
-
to contribute to cutting-edge research in robot intelligence, machine learning, and AI-driven manipulation. This position offers the opportunity to work on real-world robotic systems and develop novel algorithms
-
Engineering to educate the next generation of global leaders. Multidisciplinary research and exceptional teaching in a highly diverse and inclusive campus community are hallmarks of the University’s mission
-
capable of understanding, learning, and acting in complex, dynamic settings. The lab’s work lies at the intersection of computer vision, multimodal learning, and robotics, advancing next-generation embodied
-
complementary data from other Mars missions to strengthen current models and provide comparative insights that enhance research conclusions from Hope observations. Develop Machine Learning methods and run
-
by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The Center for Brain and Health (CBH) (https://brainandhealth.org/ ) at New
-
(SHORES) and the Division of Engineering, New York University Abu Dhabi, seek to recruit a Postdoctoral Associate to work on a fascinating project focused on the development machine-learning powered digital
-
in solid mechanics framework Experience in non-linear solid material response and fracture modeling Experience in machine-learning modeling for solid mechanics applications Experience in
-
Postdoctoral Associate to work on a fascinating project focused on the development machine-learning powered digital twin system for the structural performance of civil engineering structures. The project is a