64 optimization-nonlinear-functions positions at King Abdullah University of Science and Technology in Saudi Arabia
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will be placed on the use of remote sensing data. Other relevant data types are geological maps, geophysical surveys (gravity, electromagnetic, seismic), and soil or stream sediment geochemistry. In
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fiber technologies. Play an active role in localization efforts for carbon fiber production in Saudi Arabia, supporting the Kingdom’s Vision 2030 goals. About KAUST and the PSE Division KAUST is an
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filled. High priority will be given to the overall originality and promise of the candidate’s work rather than the candidate’s sub-area of specialisation. An earned PhD in Statistics or a related field
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in simulation, prediction, and analysis of large-scale and complex fluid systems. Special emphasis will be directed toward incorporating high-performance computing, advanced algorithms, machine
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Engineering, and Mechanical Engineering. The selected candidate will work collaboratively with the Dean to determine their home program. Located on the western shores of the Red Sea in Saudi Arabia, KAUST
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, https://www.nature.com/articles/s41586-024-07808-z ). Building on this work, this project aims to further expand our understanding of wheat domestication history and evolution by generating and analyzing
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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 candidate will work in a transdisciplinary environment to develop a nanofiber acoustic sensor platform, identify best suited nanomaterials, fabricate and characterize the nanofibers, build and characterize
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The Research Engineer will play a crucial role in developing, maintaining, and improving experimental setups and lab equipment within the Omegalab group. This position involves ensuring the smooth
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drylands agriculture to apply to broaden and deepen our investigation into the effects of our soil amendment technologies for boosting water-use and nutrient-uptake efficiencies in deserts. We welcome recent