25 big-data-clustering Postdoctoral positions at King Abdullah University of Science and Technology
Sort by
Refine Your Search
-
achievement that will benefit the region and the world, KAUST has the mission of exemplifying the future of world-class research. More details are available at www.kaust.edu.sa . For more information, see the
-
, the generated data can be used to optimize mineral extraction processes from existing mines within a geometallurgical framework. The position will mostly focus on the development of measurement protocols and data
-
and research infrastructure with the possibility to receive training on diverse instruments by experts in their fields. Skill diversification, e.g. programming courses in AI/ML and data visualization
-
To apply for this position, please send an email to Nouf and ensure that you include the following documents (combined in a single pdf file): Cover letter Curriculum vitae Contact information
-
boasts world-class equipment, research and recreational facilities, and computational resources. It is the leading university in citation per faculty according to the QS Rankings. Further information can
-
equipment, research and recreational facilities, and computational resources. It is the leading university in citation per faculty according to the QS Rankings. Further information can be found
-
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
-
computational resources. It is the leading university in citation per faculty according to the QS Rankings. Further information can be found at www.kaust.edu.sa .
-
research in the field of machine learning, more specifically, deep learning and representation learning architectures. Application areas of ML include, but are not limited to, computer vision, natural
-
intelligence framework for RO systems. Candidates with background in conventional and innovative membrane-based technologies with data driven modeling approach are encouraged to apply for this position. We