163 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" Fellowship research jobs at Nanyang Technological University
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industry and international partners. For more details, please view https://www.ntu.edu.sg/atmri . We are looking for a Research Fellow to conduct research on air traffic management (ATM) algorithms and data
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scientific leaders and researchers. For more details, please view https://www.ntu.edu.sg/spms Join the research group of Pinaki Sengupta at SPMS. We are seeking a Research Fellow to contribute to a project
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antimicrobial strategies, lipid membrane platforms, membrane-active compounds, antibacterial and antiviral applications, plant-based bio-material applications, etc. For more details, please view https
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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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group’s research advances polymer network design to achieve high mechanical performance for the evolving demands of modern technologies. For more details, please view https://www.ntu.edu.sg/mse/research
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Research Fellow to focus
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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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to a deeper understanding of material behaviors, paving the way for the development of next-generation high-performance materials. For more details, please view https://www.ntu.edu.sg/mse/research and
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superlattices (twistronics). The role will focus on developing and applying theoretical models and computational quantum chemistry and machine learning methods to uncover novel properties and phenomena in low