27 phd-scholarship-in-computational-material-science Postdoctoral positions in Saudi Arabia
Sort by
Refine Your Search
-
We are seeking postdoctoral researchers with expertise in hard carbon synthesis for energy storage applications. This position focuses on developing hard carbon materials derived from bio-based
-
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
-
. Develop sensing principles, data acquisition, and measurement systems. Upscale technology and validate its integration into a variety of structures, including structures for mobility, energy, and civil
-
& 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
-
We are seeking postdoctoral researchers with experience in the field of lithium-ion battery recycling. The focus of this position is on material recovery from cathode materials through a
-
holding a PhD in chemical, environmental or process engineering, to apply for a full-time post-doctoral fellowship position in the field of water desalination, focusing on the development of an artificial
-
(Composites Lab) is located at King Abdullah University of Science and Technology and is part of the Physical Science and Engineering Division. The Composites Lab started at KAUST in 2009 and is an integrated
-
for three references About KAUST: King Abdullah University of Science and Technology (KAUST) is an international graduate-level, merit-based research university dedicated to advancing scientific and
-
We solicit applications for experienced Agronomists for Professor Himanshu Mishra’s research Group in King Abdullah University of Science and Technology (KAUST), Saudi Arabia (https
-
language processing, computational biology and healthcare. Our group focuses on important and fundamental open problems in machine learning research and challenging applications in diverse fields (e.g., biology and