160 parallel-and-distributed-computing-"Meta"-"Meta" positions in United Arab Emirates
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Science, Computational Biology, and Human-Computer Interaction. Why Join MBZUAI? Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions Funding: MBZUAI empowers
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, analyzing the data on dynamics in individual behaviors. Successful applicants must have a PhD in computer science, digital technology, mathematics, or related fields with demonstrated experience in developing
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to the Center’s commodities markets and AI and blockchain research; and be able to generate research reports, concept notes, and academic papers. Applicants must have a bachelor’s degree in Computer
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integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global
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previous relevant experience beyond the PhD are necessary. Familiarity with advanced concepts and tools of AI, GIS, data science/analytics, machine learning, and computer modeling are of particular interest
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undergraduate students, providing guidance on research projects. Engage with academic and industry partners to advance the lab's research goals. Qualifications: A Bachelors in Computer Science, Engineering, or a
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programs next academic year and is actively hiring Teaching Faculty. Meanwhile, our Master’s and PhD programs continue to expand, introducing new specializations in Statistics and Data Science, Computational
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undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected
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Description The Laboratory for Computer-Human Intelligence (CHI-lab, https://www.x-labs.xyz ) in the Division of Engineering, New York University Abu Dhabi, is seeking a highly motivated
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will support cutting-edge projects in urban science, computational social science, and usability research. You’ll work closely with our team of Principal Investigators (PIs) to design and implement data