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This postdoc position is for a specialist in the fabrication of silicon heterojunction solar cells to be integrated into monolithic silicon perovskite tandem solar cells. For this position, we
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The Electrical and Computer Engineering (ECE) Program within the Computer, Electrical, and Mathematical Sciences and Engineering (CEMSE) Division at King Abdullah University of Science and
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The Applied Mathematics and Computational Sciences (AMCS) program in the Computer, Electrical and Mathematical Sciences and Engineering Division (https://cemse.kaust.edu.sa) at King Abdullah
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The Head of the KGSP oversees Saudi Arabia's most important STEM scholarship for the nation's highest-performing students. The KGSP is not only a crucial strategic source of Saudi talent for KAUST but also the strongest pipeline of talented scientists, innovators, and thought leaders for Saudi...
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Education: Ph.D. or M.S. in Computer Science, AI, Computer Vision, or related field Experience: 3+ years in computer vision and deep learning, with specific focus on microscopic imaging, generation
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coral reef. KAUST’s campus sets exceptional standards for residences and recreational facilities . Expats at KAUST are very well looked after, and postdoc packages include free accommodation, relocation
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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://interfaciallab.kaust.edu.sa ). Expectations: Our goal is to enhance the sustainability of growing food crops and...
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computational skills, where applicable. Salary and other employment conditions USD $ 5,000 (tax-free) Monthly for a 2-3 year contract. Housing allowance equivalent to 3 months' salary 30 days paid annual vacation
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2022 but may also start earlier. KAUST offers competitive/generous postdoc compensations. The Research Vision-CAIR group performs research and develops computational approaches in the following research
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We invite applications for a faculty position in computational science and engineering with a focus on geophysics or fluid dynamics, as well as machine learning with one of the following experiences