17 parallel-processing-bioinformatics uni jobs 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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to address fundamental marine science questions, employing bioinformatics and advanced computational techniques to describe interactions, connectivity and/or functional traits within and across marine
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Bioinformatics (generative protein design) Methodology (machine learning, deep learning, and AI) for analysis and prediction of genotypic variation Methodology (machine learning, deep learning, and AI
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processes required. Major Responsibilities Manage and administer complex and non-standard research applications in reply to internal or external funding calls; Develop and maintain pre-award processes and
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research applications to funders as well as proposal development and budgeting of all sponsored research activities in alignment with KAUST policies and procedures, in particular any approval processes
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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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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