10 big-data positions at King Abdullah University of Science and Technology in Saudi Arabia
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
with experience in areas such as flexible and large area electronics, neuromorphics, energy harvesting and sensors/detectors. We invite applications from dynamic individuals with demonstrated expertise
-
The Statistics (STAT) program in the Computer, Electrical, and Mathematical Sciences and Engineering Division (https://cemse.kaust.edu.sa) at King Abdullah University of Science and Technology
-
to our translational research in collaboration with stakeholders in the Kingdom and beyond. The applicant should have: Practical experience in large-scale field preparation, precision agriculture
-
. This includes facies analysis, environmental research, diagenesis, pore-network analysis and stratigraphy. Additional ideas will also be considered. A multitude of data is already available including shallow
-
in simulation, prediction, and analysis of large-scale and complex fluid systems. Special emphasis will be directed toward incorporating high-performance computing, advanced algorithms, machine
-
, electrical and optical characterizations. This position requires conducting translational research in next-generation large-area nanofiber acoustic sensor platforms in structural health monitoring applications
-
We are seeking motivated researchers with expertise in large-area 2D materials growth for sensor and transistor applications. The focus is on developing wafer-scale 2D materials using CVD, PLD
-
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
-
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
-
of large-scale computational schemes involving learning algorithms and dynamical systems models; (iii) application and fine-tuning of these tools using single cell data from stem cells, immune cells, and