141 machine-learning "https:" "https:" "https:" "https:" Fellowship research jobs at Nanyang Technological University
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Responsibilities: Conduct advanced research in secure multi-party computation with applications to privacy-preserving machine learning. Develop scalable multi-party computation frameworks to enhance existing
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian Multi-Energy System & Grids Team is looking for a Research Fellow in
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, Physics, or any related field Strong background in machine learning, PINNs and control theory Excellent verbal and written communication skills Proficiency in programming languages in Python and/or C/C++. A
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field Strong background in control theory, optimisation-based algorithms and/or machine learning Excellent verbal and written communication skills Proficiency in programming languages in Python and/or C/C
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, please view https://www.ntu.edu.sg/newri We are seeking a highly self-motivated individual to join the Nanyang Environment and Water Research Institute (NEWRI) as a Research Fellow. The successful
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, please view https://www.ntu.edu.sg/newri We are seeking a highly self-motivated individual to join the Nanyang Environment and Water Research Institute (NEWRI) as a Research Fellow. The successful
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sustainability. For more details, please view https://www.ntu.edu.sg/ase The Organo-Mineral Group (OMG) within the Asian School of the Environment (ASE) is seeking a Research Fellow. This position is part of a
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . This position supports frontier research in the electrocatalysis of hydrogen
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research. The Research Fellow will undertake advanced research in the field of quantum
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems