614 computer-science-intern "https:" "https:" "https:" "https:" "UCL" uni jobs at Nanyang Technological University
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, specifications and presentations for internal reviews and external conferences or journals Job Requirements: Preferably Bachelor’s in Computer Engineering, Computer Science, Electronics Engineering or equivalent
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local specialization. Job Requirements: Bachelor’s degree in Computer Science or a related field. Demonstrated expertise in federated learning, distributed optimization, and deep learning, with strong
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)-based techniques to improve program analysis and vulnerability assessment. Support system integration, benchmarking, deployment, and technical documentation. Requirements: A Masters degree in Computer Science
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computer science, Computer Applications, Engineering or related field At least 8 years of relevant experiences in similar role / technical hands-on experience with distributed systems, cloud platforms, and real-time
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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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School of Art, Design and Media - College of Computing and Data Science Nanyang Technological University, Singapore Part-Time Lecturer for AP6412 Foundation for Technology and Coding The School
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particular, the appointee will be expected to: Teach in the Master of Science in Modelling and Simulation program and contribute to undergraduate teaching; Supervise student projects and provide academic
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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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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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. Requirements: Master’s degree in Electrical/Electronics Engineering, Computer Science, or a closely related discipline. Strong foundation in software engineering for intelligent systems, including machine/deep