911 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "University of Waterloo" positions at Nanyang Technological University
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are seeking a Research Fellow to work on a MOE-funded project developing active boiling-based cooling solutions
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an emphasis on technology, data science and the humanities. The Data Science and Artificial Intelligence programme of LKCMedicine is a cross cutting programme that aims to bridge the gap between data science
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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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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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administration/support depending on research project requirement and development progress. Job Requirements: Masters / Bachelor's Degree in Electrical / Electronics / Communications Engineering / Computing from
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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
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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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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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Requirements: PhD qualification degree in Aerospace Engineering, Transport, Mechanical Engineering, Computer Science, or other related fields. At least three (3) years of relevant research experience in air
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, Computer Science, FinTech, or related fields; strong statistical background. Experience with BERT, LSTM, GRU architectures, and financial risk modeling. Proficient in Python, Linux, and open-source LLM platforms