37 phd-in-mechanical-engineer uni jobs at King Abdullah University of Science and Technology
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Application documents: 1) Brief cover letter, explaining your motivation for applying, 2) Detailed curriculum vitae (including your email address), 3) Complete transcript of grades from all your university-level studies. We do not ask for more information/documents at this point (but you can...
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The Software Engineer for Marine Sciences will be instrumental in overseeing the software and database systems for the Red Sea Research Center and the IOP Ocean Observing System. This effort
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The Statistics (STAT) program in the Computer, Electrical, and Mathematical Sciences and Engineering Division (https://cemse.kaust.edu.sa) at King Abdullah University of Science and Technology
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collaborative environment. Willingness to work unconventional hours on occasional basis, when required to do so. Qualifications Bachelor’s degree (mechanical/electronic/electrical engineering or related
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We solicit applications for multiple positions(PhD, MS, MS–PhD, Agronomist, Field Engineer, Field Technician, and Postdoctoral Scholar) in Professor Himanshu Mishra’s research Group (Interfacial Lab
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positions (PhD, MS, MS–PhD, Agronomist, Field Engineer, Field Technician, and Postdoctoral Scholar) in Professor Himanshu Mishra’s research Group (Interfacial Lab) in King Abdullah University of Science and
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The Bioscience Program in the Biological and Environmental Science and Engineering (BESE) Division at King Abdullah University of Science and Technology (KAUST) is launching a significant initiative
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post-doc (micro-biology) and 5 PhD students at various stages of their projects. The area is part of the Red Sea Global Giga Project which aims to build a world class sustainable tourist development
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The King Abdullah University of Science and Technology (KAUST) is a world-renowned private university located in Thuwal, Kingdom of Saudi Arabia with a 36 km2 suburban campus directly on the Red Sea
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Serve as the Lead for the team ensuring smooth operation of the Linux cluster consisting of 300+ GPU/CPU compute nodes including parallel filesystems and high-performance network. This is partly technical and partly people leading role which involves supervision of 3-4 experienced HPC system...