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Learning Lab at KAUST led by Prof Peter Richtarik, including Research Intern MS/PhD Student PhD Student Postdoctoral Fellow Research Scientist This lightweight form is intended as a first point of contact
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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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the Optimization and Machine Learning Lab at KAUST led by Prof Peter Richtarik, including Research Intern MS/PhD Student PhD Student Postdoctoral Fellow Research Scientist This lightweight form is intended as a
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learning, deep learning, and AI) for analysis and prediction of genotypic variation Methodology (machine learning, deep learning, and AI) for analysis and prediction based on medical or biological imaging
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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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specific properties with AI or machine learning Cell-free expression systems: utilizing isolated cell components for metabolic reactions Synthetic gene circuits: programming genetic circuits for complex
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, analytical and reactor microfluidics Organs on a chip for diagnostics and drug discovery Methodology (machine learning, deep learning, and AI) for the analysis, biomarker discovery, and predictive models based
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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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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Statistics (STAT) Program in the Computer, Electrical, and Mathematical Sciences and Engineering