2,230 computer-science-quantum "https:" "https:" "https:" "https:" "U.S" positions in Singapore
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service maturity Qualifications University degree in Computer Science, Information Technology or related disciplines. 12 - 15 years of working experience in IT, with experience in endpoint management
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The School of Civil and Environmental Engineering (CEE) is a leading school for Sustainable Built Environment. The School plays an integral role in spearheading tertiary education, advancing
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domain such as computer vision, machine learning, robotics, civil engineering, mechanical engineering, electrical/computer engineering, or a related field. Relevant research experience, including technical
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, high-performance and secure IT solutions and effective IT governance for the campus. Here at NUS IT, we aim to transform NUS into a borderless computing community providing knowledge at its fingertips by
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reputable peer-reviewed journals. More Information Location: Kent Ridge Campus Organization: College of Design and Engineering Department : Electrical and Computer Engineering Employee Referral Eligible
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of a team that drives meaningful impact, we’d love to hear from you! Join us and be a part of shaping the future of finance at NUS! Website: https://www.nus.edu.sg/finance LinkedIn: https
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Established in 1981, the School of Electrical and Electronic Engineering (EEE) https://www.ntu.edu.sg/eee is one of the founding Schools of the Nanyang Technological University. Built on a culture
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian You will be part of a dynamic research team working on topics relevant
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science, environmental engineering, and public health to tackle the region’s most pressing climate–health challenges through cutting-edge research, advanced modelling, and interdisciplinary collaboration
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Job Description Job Alerts Link Apply now Teaching Assistant (Statistics and Data Science) University-Level Unit: Science Faculty/Department-Level Unit: Statistics and Data Science Employee Category