1,021 systems-science "https:" "https:" "https:" "https:" "Univ" positions at Nanyang Technological University
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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 Research Fellow (RF) to work on carbon enhanced
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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 Research Associate (RA) to work on carbon enhanced
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deployment enabling validation and demonstration of real-world applications We are looking for a Research engineer to develop and test C-based BMS firmware invanadium flow battery systems. Support real-time
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for resilient, just, and sustainable Southeast Asian societies. CTP will generate knowledge and innovation across disciplines including climate and Earth science, ecology, materials science, artificial
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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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Temasek Laboratories@NTU explores the frontiers in science and develops strategic technologies to enhance the defence and security of Singapore. TL@NTU forms part of the defence technology community
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and its objectives, please read the Course Content framework here: https://entuedu.sharepoint.com/sites/Student/cs/adm/Shared%20Documents/Forms/AllItems.aspx?id=%2Fsites%2FStudent%2Fcs%2Fadm%2FShared
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The School of Civil and Environmental Engineering (CEE) is a leading school for sustainability and environmental research. The key objective is to support efforts to excellence in providing advanced
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vision by designing, developing, and optimizing robust distributed learning frameworks and deep learning models for visual recognition and person re-identification. Key Responsibilities: Design and conduct
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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