9 machine-learning-phd positions at King Abdullah University of Science and Technology in Saudi Arabia
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Application documents: 1) Brief cover letter, explaining your motivation for applying, 2) Detailed curriculum vitae (including your email address), 3) Complete transcript of grades from all your university-level studies. We do not ask for more information/documents at this point (but you can...
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the Climate and Livability Initiative (CLI). The successful candidate will engage in machine learning (ML) and artificial intelligence (AI) projects aimed at forecasting natural hazards, assessing climate
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Postdoctoral Researchers to work on research problems at the interface between a selection of the following areas: - Bayesian inference for deep learning - Generative modeling - Computational statistics
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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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biosynthesis Biomolecular design: engineering proteins, enzymes, and other biomolecules with specific properties with AI or machine learning Cell-free expression systems: utilizing isolated cell components
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analysis (e.g., paper-based droplet systems) Nanopore transport Digital/droplet, analytical and reactor microfluidics Organs on a chip for diagnostics and drug discovery Methodology (machine learning, deep
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are looking for young scientists who are passionate about water desalination and machine learning with its potentially transformative applications in research and industry. The two-year post-doctoral position
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The Statistics (STAT) Program in the Computer, Electrical, and Mathematical Sciences and Engineering (CEMSE) Division at the King Abdullah University of Science and Technology (KAUST) invites
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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