16 computer-programmer-"University-of-Reading" Postdoctoral positions at King Abdullah University of Science and Technology in Saudi Arabia
Sort by
Refine Your Search
-
& Characterization, Extreme Computing, and Informatics. About you The postdoc researcher will be expected to take a leading role in developing and carrying out the research program. The project will require strong
-
of the KAUST BioE program . Taking aim at boosting public health and disease prevention we are contributing to KAUST’s Smart Health Initiative . KAUST is an international graduate-level research
-
/Online. A project at the Composites Lab is characterized by the amalgamation of experimental and computational/modeling mechanics and encompasses people with very different backgrounds to ensure we capture
-
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
-
engineering. Plan and execute research tasks, analyzing data, publishing findings in peer-reviewed journals, and presenting research at scientific conferences. May participate in the development of patent
-
predictors and interpreters for maps of damage and/or other fields, ensuring physics-based predictive maintenance. Plan and execute research tasks, analyzing data, publishing findings in peer-reviewed journals
-
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 .
-
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