Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
to addressing the world’s pressing scientific and technological challenges, broadly aligned with the objectives of Saudi Arabia’s VISION 2030. All relevant research areas of Computer Science will be considered
-
contribute significantly to the objectives outlined in Saudi Vision 2030. This alignment should be explicitly demonstrated by emphasizing one or more of KAUST's Research, Development, and Innovation (RDI
-
Development Goals and to contribute significantly to the objectives outlined in Saudi Vision 2030. This alignment should be explicitly demonstrated by emphasizing one or more of KAUST's Research, Development
-
divisions. Furthermore, we expect research proposals to align closely with the UN Sustainable Development Goals and to contribute significantly to the objectives outlined in Saudi Vision 2030. This alignment
-
be considered. Successful candidates should hold a Ph.D. in Biological Sciences or a related field, with a robust track record of publications in top-tier journals, and must be eager to pioneer
-
, check, and verify the contractor’s invoices to ensure accuracy of all charges. Keep track of cancelled tickets, hotel, and car rental vouchers and ensure same are properly refunded to KAUST. Motivates
-
in the design, processing, and characterization of advanced semiconductors — including organic, hybrid, and 2D materials. Applicants should demonstrate a strong track record of fundamental and applied
-
on objectives and timelines. Possibility of some remote working depending on project requirements. Additional Information: Multiple opportunities to learn and use various equipment and techniques. Availability
-
. This technology has enabled major advances in the oil & gas industry related to exploration, reservoir characterization, and management. However, its capability is not fully exploited. The objective of this project
-
integrate complex flow on Discrete Fracture Networks (DFN). The objective of this project is to develop a tool to generate DFN models amenable for multiphase flow, and scale up the model to be usable with