12 computational-biology positions at King Abdullah University of Science and Technology in Saudi Arabia
Sort by
Refine Your Search
-
The Plant Science Program in the Biological and Environmental Science and Engineering (BESE) Division at King Abdullah University of Science and Technology (KAUST) invites applications for faculty
-
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
-
strengths in Engineering, Chemistry and Biology. The BioE Program seeks faculty candidates (at the rank of Assistant Professor, although compelling candidates will be considered at higher ranks) with multi
-
at establishing a world-class research program in air pollution and atmospheric chemistry. Individuals with expertise in the following research domains are particularly encouraged to apply: · Investigating
-
strengths in Engineering, Chemistry and Biology. The BioE Program seeks faculty candidates (at the rank of Assistant Professor, although compelling candidates will be considered at higher ranks) with multi
-
strengths in Engineering, Chemistry and Biology. The BioE Program seeks faculty candidates (at the rank of Assistant Professor, although compelling candidates will be considered at higher ranks) with multi
-
in genomics and molecular biology to address biological questions in the area of disease resistance, genome biology, and evolution of wheat. Our mission is to perform impactful curiosity-driven
-
The Environmental Science and Engineering (EnSE) Program in the Biological and Environmental Science and Engineering (BESE) Division at KAUST has established research strength in several areas
-
. A healthy work-life balance in a work-play-live environment. We are looking for an independent scientist, who is passionate about synthetic biology and generative biology, and is excited by
-
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