830 engineering-computation "https:" "https:" "https:" "https:" "Univ" positions at Nanyang Technological University
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on the developed models for agencies/commercial partners Job Requirements: Preferably Master in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research Fellow. The role will focus on helping to build thermal-flow engineering and
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, and security teams. Job Requirements: Master’s or PhD degree in Computer Science, Electrical Engineering, or related fields. Strong experience with Hyperledger Fabric, Avalon, or comparable enterprise
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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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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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The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE
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AI Singapore (AISG) is Singapore's national programme in artificial intelligence, launched by the National Research Foundation (NRF) to anchor deep national capabilities in AI. Hosted at Nanyang
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Singapore's AI efforts. The AI Apprenticeship Programme (AIAP) is a flagship initiative aimed at grooming local AI talent. We are looking for a driven AI Engineer to execute our programmes, lead AI-based
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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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of PhD/Masters/FYP students. Job Requirements: Preferably PhD in Computer Science, Electrical & Electronic Engineering, or equivalent. Background knowledge in signal representation/processing, esp