46 phd-in-computational-mechanics-"Prof"-"Prof" positions at King Abdullah University of Science and Technology
Sort by
Refine Your Search
-
The AI Lecturer will play a crucial role in supporting the delivery of high-impact Artificial Intelligence (AI) training programs offered by KAUST Academy. This position involves delivering engaging and practical AI instruction to a diverse range of participants, including government sector...
-
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 .
-
of bioinformaticians, computer scientists, biotechnologists, biologists, and biochemists. The successful candidate will also enjoy an environment aimed to facilitate progress in the research career: networking, student
-
As part of a major initiative to strengthen its research in marine science, the Marine Science Program (MarS) in the Biological and Environmental Science and Engineering (BESE) Division at KAUST is
-
generous funding for research, a cutting-edge genomics facility, and top-tier high-performance computing infrastructure, fostering an excellent environment for genomics-based research. The position is fully
-
As part of a major initiative to strengthen its research in Marine Science, the Marine Science Program (MarS) in the Biological and Environmental Science and Engineering (BESE) Division at KAUST is
-
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 .
-
, scripting, backup, monitoring and automation skills are required. This is a highly technical role requiring high performance computing (HPC) or large scale computing experience, in complex environments.
-
http://www.kaust.edu.sa . More information about the BESE Division and the Marine Science Program is available at http://bese.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