Sort by
Refine Your Search
-
Listed
-
Employer
-
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
-
for an open-rank (Assistant, Associate, or Full), tenured, or tenure-track faculty position in the Computer Engineering program . We seek candidates with a research focus on the theoretical foundations and
-
, sex, national origin, protected veteran status or disability. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405715/human-computer-inte… Requirements Additional Information
-
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
-
Description The Division of Engineering at NYU Abu Dhabi is searching for accomplished visiting faculty in Computer Engineering to educate the next generation of global leaders. Multidisciplinary
-
, seeks to recruit a junior research scientist to develop AI-enabled healthcare applications. Key Responsibilities: Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based
-
Computer Vision - Associate/Full Professor Tenured Mohamed bin Zayed University of Artificial Intelligence: Academic Appointments: School of Computing: Computer Vision Location Abu Dhabi, UAE Open
-
Junior Research Scientist in the Center for Quantum and Topological Systems (CQTS) – Dr. Hisham Sati
arises. Applicants must have a Bachelors in one of the following: Computer Science, Computer/Electrical/Communication Engineering, Mathematics, Physics. For consideration, applicants need to submit a cover
-
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
-
applications. Key Responsibilities: Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based estimation from images and text metadata. Build and evaluate monocular depth pipelines