884 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "INESC TEC" positions 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 Senior Research Fellow to develop a CFD engine and
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from the School of Physical and Mathematical Sciences with the School of Chemical and Biomedical Engineering. It is jointly run by the College of Science and the College of Engineering (https
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administration/support depending on research project requirement and development progress. Job Requirements: Masters / Bachelor's Degree in Electrical / Electronics / Communications Engineering / Computing from
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comprehensive baselines and validate results Job Requirements: Preferably Bachelor’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical
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Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written communication skills In-depth knowledge
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Engineering, Mechatronics, Computer Science, etc. Strong background in AI, Large Language Model, autonomous driving, deep learning, interaction modelling, prediction, robotics and automation. Candidates having
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applications such as cyber security compliance. Job Requirements: Preferably Master in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and
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Globally recognized as a leading research and technology organization, the Nanyang Environment and Water Research Institute (NEWRI) addresses national priorities through its diverse expertise in
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School of Art, Design and Media - College of Computing and Data Science Nanyang Technological University, Singapore Part-Time Lecturer for AP6412 Foundation for Technology and Coding The School
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on the requirements of the projects Requirements: Master’s degree in Computer Science/Engineering or equivalent More than 2 papers published at top AI/Machine learning conferences Experience of deep learning and