177 computer-science-programming-languages positions at Nanyang Technological University
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academic conferences and journals. Assist in the preparation of project proposals and technical documentation. Job Requirements: Bachelor of Engineering degree in Aerospace Engineering/Computer Science
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with the ability to contribute collaboratively across disciplinary boundaries. Responsibilities The successful candidate is expected to: Develop and sustain a productive research programme in assessment
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is expected to work with the PI and other team members for doing R & D and take key role for the automation of the systems for bioimaging and metrology Implement computer vision and machine learning
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. Requirements Degree in Computer Science, Computer Engineering, Electrical Engineering, or a related discipline. At least 8 years of relevant experience in managing and administering campus or enterprise networks
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Computer Science, Software Engineering, or related field. Strong publication record in top-tier venues. Experience with LLM-based program analysis and infrastructure security. Proven ability to work collaboratively
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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and business stakeholders. Requirements: A University degree in Computer Science, Information Technology, Engineering or a related field. At least 2 years of experience as a software developer or in a
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) 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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design of compliant robotic structures Proficiency in basics of programming languages such as C++, Python, and/or Matlab Strong understanding of research methodologies, data analysis, and statistical