82 linked-data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"CSIC" positions in Saudi Arabia
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
Engineering and Facilities Management Jobs The KAUST School Jobs Elevate Program Join our Talent Community View Profile Create Alert Data Center Hardware & Equipment Specialist Apply now » Date: Aug 27, 2026
-
Rohrbach and T Tuytelaars Code: https://github.com/rahafaljundi/MAS-Memory-Aware-Synapses Theme C Vision&Language learning (selected papers): VisualGPT: Data-efficient Image Captioning by Balancing Visual
-
data-driven methods to understand, design, and optimize complex energy systems and devices. Example topics include physics-informed machine learning, digital twins for turbines and reactors, AI-driven
-
of complex real-world problems arising in modern Statistical Data Science. KAUST ( https://www.kaust.edu.sa ) is an international, graduate-only, research university, located on the shores of the
-
( https://caress.kaust.edu.sa/ ) to study the shallow water carbonates of the land-attached Al Wajh carbonate platform in the Red Sea, Saudi Arabia. The open position focuses on an investigation of the
-
, Electrical, and Mathematical Sciences and Engineering Division ( https://cemse.kaust.edu.sa ) at King Abdullah University of Science and Technology (KAUST) invites applications for faculty positions
-
Description We are seeking a highly motivated and quantitatively skilled Research Specialist with a strong background in data science, statistics, and programming to support ongoing and new research
-
operation, efficiency, and resilience of materials and structural systems in modern energy applications. This includes large-scale computational mechanics of energy structures, data-driven mechanics
-
learning using 3D data. More information about the research group and KAUST can be found under the following links: http://peterwonka.net/ https://cemse.kaust.edu.sa/vcc https://www.kaust.edu.sa/en If you
-
, Data Science and/or Nutritional epidemiology to join an interdisciplinary project aiming to understand how the nutrient contributions of aquatic foods vary across space and time—globally and with a