840 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at Nanyang Technological University
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course covering the design, modelling, and preparation of original visual assets for game engines. Students explore essential techniques for creating 2D sprites, 3D models, textures, and basic animation
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for the university and funding agencies. Job Requirements: PhD qualification degree in Computer, Electrical or Electronic Engineering or related field At least 3 years of relevant research experience in AI security
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electrical or computer engineering or computer science Good publication record with papers accepted/published in top-tier journals and conferences Good research experience in AI and machine learning as
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Assistant Manager (Programme Operations), Nanyang Executive Education Nanyang Executive Education (NEE), a division of Nanyang Business School, delivers enterprise and public executive learning
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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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an emphasis on technology, data science and the humanities. The Nutrition Metabolism & Health Program is one of the flagship research programs within the school. Oue team investigates how nutrition and
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/FYP students Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent Independent, highly analytical, proactive and a team player Excellent
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School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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and empirical studies. Assist PI in various data analytics tasks. Job Requirements: MSc/MEng in Electrical Engineering, Computer Science, Statistics, or other related fields. Familiar with data