2,281 computer-science-intern "https:" "https:" "https:" "https:" "DESY" positions in Singapore
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compliance requirements. Job Requirements: Master’s in Computer Science, Electrical Engineering, or related fields. Experience with cloud platforms, microservices architecture, and real-time data pipelines
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to: Chinese Programme Search Committee Email:chinese-search@ntu.edu.sg The closing date for applications is 16 May 2026. Only shortlisted candidates will be notified via email. Where to apply Website https
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and analyze the results. Develop a robotic pick and place with other researchers and engineers. Prepare reports and scientific papers. Requirements: Master’s in Computer Engineering, Computer Science
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Job Description Job Alerts Link Apply now Scientific Program Officer (Cancer Science Institute) University-Level Unit: Cancer Science Institute of Singapore Faculty/Department-Level Unit: Research
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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industry and international partners. For more details, please view https://www.ntu.edu.sg/atmri . We are looking for a Research Fellow to conduct research on air traffic management (ATM) algorithms and data
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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We are seeking to appoint a Research Associate who will contribute to NTU’s mission of advancing software security and intelligent software engineering, with a focus on automated program repair (APR
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developing new departmental initiatives. The Department of Political Science (https://www.fas.nus.edu.sg/pol/) includes scholars working in all areas of political science, as well as an interdisciplinary
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: Qualification: A bachelor’s degree in computer science, computer engineering, electronics engineering or equivalent. Strong background and experience in machine learning and computer vision. Prior experience in