30 cloud-computing-phd-student research jobs at King Abdullah University of Science and Technology
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genomics, protein engineering, cloning/assembly workflows, cell line development). You will work closely with computational experts to establish innovative, high-throughput, high-fidelity screening platforms
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, Saudi Arabia, and welcomes exceptional students, researchers, and faculty from around the world. Our university is internationally diverse with over 100 Nationalities living and working on campus. KAUST
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welcomes exceptional students, researchers, and faculty from around the world. Our university is internationally diverse with over 100 Nationalities living and working on campus. KAUST boasts world-class
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holding a PhD in chemical, environmental or process engineering, to apply for a full-time post-doctoral fellowship position in the field of water desalination, focusing on the development of an artificial
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to focus on home-grown technologies, invented at KAUST. About KAUST: KAUST is located on the shores of the Red Sea near Jeddah, Saudi Arabia, and welcomes exceptional students, researchers, and faculty from
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faculty and staff from all over the world, with more than 80 nations represented on campus. KAUST is actively recruiting world-class students, faculty, and researchers who are committed to meeting the grand
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for chemical and morphological characterization. The candidate should preferentially have a PhD in chemistry, polymer science, or membrane preparation and characterization. Besides the salary (contract of 2
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research in the field of machine learning, more specifically, deep learning and representation learning architectures. Application areas of ML include, but are not limited to, computer vision, natural
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, KAUST has state-of-the-art equipment, research, and recreational facilities and record-breaking computational resources and welcomes exceptional researchers, faculty, and students from around the
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Three postdoctoral positions at the King Abdullah University of Science and Technology (KAUST) under the mentorship of Prof. Jürgen Schmidhuber.This project, located at the intersection of Reinforcement Learning and Material Science, focuses on developing innovative solutions for the discovery...