35 parallel-processing-bioinformatics positions at King Abdullah University of Science and Technology in Saudi Arabia
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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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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
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in the design, processing, and characterization of advanced semiconductors — including organic, hybrid, and 2D materials. Applicants should demonstrate a strong track record of fundamental and applied
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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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, photovoltaics, porous materials for carbon capture and membranes, clean combustion, atmospheric modeling, new polymers and composite for smart materials and structures, catalysis and catalytic processes. KAUST is
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airborne particle control (HVAC, AHU, CDA, PVAC) Chilled, waste and DI water systems Process gases and gas abatement Responsible for Gas Cylinder (toxic and corrosive) ordering, changes and ensuring safe but
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of mineral resources in Saudi Arabia by developing innovative approaches to mineral exploration, mining, and mineral processing. The working group will initially consist of 1 PhD student and 2 MSc students
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, the generated data can be used to optimize mineral extraction processes from existing mines within a geometallurgical framework. The position will mostly focus on the development of measurement protocols and data
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of lithium-ion battery recycling. The focus of this position is on material recovery from cathode materials through a groundbreaking filtration and extraction processes. Key Responsibilities: Participate in
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technologies. Key Responsibilities: Develop and optimize hard carbon synthesis processes using bio-based and non-bio-based precursors. Explore innovative methods to enhance material properties for energy storage