15 social-network-analysis Postdoctoral positions at King Abdullah University of Science and Technology
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topics. Candidates should have some experience working with FPGAs as well as an understanding of computer networks. Experience with both RTL and HLS design is favoured. The ideal candidate would have some
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- the changes occurring in Multiple Myeloma and Myelodysplasia. What is expected: Bioinformatic analysis (depending on the experience of the candidate): (i) support in the implementation and/or development
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university dedicated to advancing scientific and technological education and research. KAUST addresses problems of human need, social advancement, and environmental sustainability. With a strong stand in the
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· Hands-on experience with poling techniques, impedance analyzers, and dynamic mechanical analysis (DMA). · Highly skilled in device fabrication and characterization. Cleanroom experience is a plus
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, merit-based research university dedicated to advancing scientific and technological education and research, acting as a catalyst for innovation, economic development and social prosperity in the region
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technological education and research, acting as a catalyst for innovation, economic development, and social prosperity in the region and the world. Based near Jeddah, Saudi Arabia, KAUST has attracted top-notch
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travel allowance, 30 paid vacation days, and other generous benefits. KAUST is a vibrant and international community, with many opportunities for social, sporting, and learning activities outside of work
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, an annual travel allowance, 30 paid vacation days, and other generous benefits. KAUST is a vibrant and international community, with many opportunities for social, sporting, and learning activities outside
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the world to advance research. More than 120 different nationalities live, work and study on campus. KAUST is also a catalyst for innovation, economic development and social prosperity, with research
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areas will be considered when selecting candidates: Machine Learning, Neural Networks, Numerical solutions of Partial Differential Equations and Stochastic Differential Equations, Numerical Optimization