1,006 computer-science-intern "https:" "https:" "https:" "https:" "UNIVERSITY OF HELSINKI" positions at Nanyang Technological University
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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
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) who is highly skilled in and deeply passionate about computational electromagnetism and mathematical physics/engineering. The SRF should have strong background in computational methods for solving
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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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students in the group Job Requirements: PhD degree in microbiology, bioinformatics, computational biology or a related field. Expertise in python, linux and HPC. Have experience in conducting wet-lab
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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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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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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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: 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