9 natural-language-phd Postdoctoral research jobs at King Abdullah University of Science and Technology
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· PhD in Materials science, chemistry, physics, polymer science, or related field · Strong background in ferroelectrets, piezoelectric materials, voided charged polymers or piezocomposites
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and technological challenges. In the Nature Index Rising Stars, KAUST was ranked #19 in the world of the fastest rising universities for high quality research output. KAUST was also ranked as the
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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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to the development 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
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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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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 language
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per capita endowment, KAUST has quickly it has become one of the fastest-rising universities for high-quality research output, ranking as number six of the Nature Index's leading 150 young universities
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, or a related discipline. Experience in NGS analysis (RNA-seq/ATAC-seq; bulk/single-cell) and spatial profiling will be positively evaluated. A high level of proficiency in English and excellent written
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Applicants must have a PhD in Computer Engineering, Computer Science, or Electrical and Computer Engineering, and have published their research in prestigious conferences and journals in related