16 professor-computer-"https:"-"https:"-"https:" research jobs at King Abdullah University of Science and Technology
Sort by
Refine Your Search
-
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
-
/Online. A project at the Composites Lab is characterized by the amalgamation of experimental and computational/modeling mechanics and encompasses people with very different backgrounds to ensure we capture
-
Applicants must have a PhD in Computer Engineering, Computer Science, or Electrical and Computer Engineering, and have published their research in prestigious conferences and journals in related
-
The VCC center at KAUST is looking for postdoctoral researchers and research scientists in Prof. Wonka's research group. The topics of research are computer vision, computer graphics, and deep
-
Professor Max Frenzel is currently recruiting for a 2-year Post-doc position (extendable) to join the new Mineral Exploration and Exploitation Group at KAUST. The focus of the position will be
-
Professor Max Frenzel is currently recruiting for a 2-year Post-doc position (extendable) to join the new Mineral Exploration and Exploitation Group at KAUST. The focus of the position will be
-
for Energy and Mobility Professor of Mechanical Engineering About King Abdullah University of Science and Technology (KAUST) Established in 2009, King Abdullah University of Science and Technology (KAUST) is a
-
research based on advanced theoretical concepts. Prof. Gilles Lubineau Principal Investigator of Mechanics of Composites for Energy and Mobility Professor of Mechanical Engineering About King Abdullah
-
partners. This ensures a high level of applied research based on advanced theoretical concepts. Prof. Gilles Lubineau Principal Investigator of Mechanics of Composites for Energy and Mobility Professor
-
containment. The prohibitively high computational cost of such simulations necessitates the development of efficient and robust surrogate models for general GCS modeling tasks, especially when inverse modeling