533 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at Nanyang Technological University in Singapore
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian We are looking for a Engineer for supporting the development, testing
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technical writing, and consistent throughput from idea → prototype → validated results → publication-quality artifacts Job Requirements: Preferably Master in Computer Engineering, Computer
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian We are looking for an experienced Chemical Process Engineer to join its
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academic partners. To perform any other duties related to the research program. Job Requirements: Preferably a Master degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent
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relevant to the programme of research. Job Requirements: Bachelor’s degree in computer engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a
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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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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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grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Key Responsibilities: Work closely with research and engineering
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findings at conferences and journals in computer vision, multimedia, and signal processing. Job Requirements: Preferably Master’s degree in Computer Engineering, Computer Science, Electronics Engineering or
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program. Job Requirements: Preferably Master’s degree in Physics, Computer Science, Engineering, Mathematics, Machine Learning or relevant fields. Experience in interdisciplinary research involving physics