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
-
Position Location: Dhahran, Eastern Province 31261, Saudi Arabia Subject Areas: Condensed Matter Physics / Condensed Matter Physics, Electronic Structure, Strongly Correlated Materials Quantum Computing
-
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
-
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
-
/quantum matter Physics / Complex Quantum Systems , Condensed Matter Physics , Condensed Matter Physics; Condensed Matter Theory; Computational Physics; X-ray Spectroscopy; Electronic Structure; Ultrafast
-
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
-
to improvements accuracy and resolution. The selected candidate will join the research group of Prof. Tariq Alkhalifah within the Earth Systems Science and Engineering (ESSE) program at King Abdullah University
-
We invite applications for multiple Postdoc positions in the Accelerated Connected Computing Lab (ACCL) at KAUST! The new research group, supervised by Suhaib Fahmy explores hardware acceleration
-
Modeling naturally fractured reservoirs is re-gaining interest in the Oil & Gas industry and academia for application in carbonate fractured reservoirs and unconventional reservoirs where natural fractures can play a key role on production performance. One of the persisting challenges is to...
-
doing so, we will also establish a long-term, market-based monitoring program, generating real-world data to inform smarter, fairer, and more sustainable management of reef fisheries worldwide. We