Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
The Applied Mathematics and Computational Sciences (AMCS) program in the Computer, Electrical and Mathematical Sciences and Engineering Division (https://cemse.kaust.edu.sa) at King Abdullah
-
The Head of the KGSP oversees Saudi Arabia's most important STEM scholarship for the nation's highest-performing students. The KGSP is not only a crucial strategic source of Saudi talent for KAUST but also the strongest pipeline of talented scientists, innovators, and thought leaders for Saudi...
-
, Communications Systems and Sensing, Nuclear Engineering, Advanced Materials, Membranes and Water Security, Smart Mobility and Logistics, Refining and Petrochemicals, Carbon Capture & Storage, Hydrogen & Energy
-
academic programs and research activities are available at: http://www.kaust.edu.sa The PSE Division comprises seven Degree Programs: Applied Physics, Chemical Engineering, Chemistry, Earth Science and
-
We invite applications for a faculty position in computational science and engineering with a focus on geophysics or fluid dynamics, as well as machine learning with one of the following experiences
-
Education: Ph.D. or M.S. in Computer Science, AI, Computer Vision, or related field Experience: 3+ years in computer vision and deep learning, with specific focus on microscopic imaging, generation
-
vision, please refer to the following link: https://www.kaust.edu.sa/en/about/our-strategy About the PSE Division and KAUST The Physical Science and Engineering Division comprises seven Degree Programs
-
The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is
-
& Characterization, Extreme Computing, and Informatics. About you The postdoc researcher will be expected to take a leading role in developing and carrying out the research program. The project will require strong
-
and research infrastructure with the possibility to receive training on diverse instruments by experts in their fields. Skill diversification, e.g. programming courses in AI/ML and data visualization