434 engineering-computation "https:" "https:" "https:" "https:" "Univ" Fellowship research jobs in Singapore
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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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work in strategic directions that are of significant impact to industry, science and technology. For more details, please view https://www.ntu.edu.sg/cee . We are looking for a Research Fellow to work
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publications in high-impact journals and represent the project at international conferences. Manage project milestones and deliverables in accordance with funding agency requirements. Contribute to technology
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forecasting techniques, energy technologies, and industry trends. Qualification Education: Ph.D. degree in Electrical/Computer Engineering, specialized in Power Systems/Renewable Energy Planning/Optimization
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. The key objective is to support efforts to advance fundamental and high-impact research. For more details, please view http://www.ntu.edu.sg/spms . Join the laboratory of Shilei Ding at SPMS. We are seeking
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Engineering, Environmental Engineering, Computer/Data Science, Operations Research). o Demonstrated research and development capabilities, evidenced by high-quality publications, software/tools, or impactful
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function. Over the years, SBS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers. For more details, please view https://www.ntu.edu.sg/sbs
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information about the study can be found here: https://www.healthdata.org/research-analysis/gbd . Purpose of the post We seek a highly motivated researcher with strong quantitative skills, passion for global
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, Empowering Science: Basic neuroscience research and advanced computational models to understand individual neurocognitive potential, developmental trajectories, and risk and resilience factors; 2) Translation
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. Job Requirements: PhD in Electrical and Electronic Engineering, Computer Science, or related field, with strong background in robotics and machine learning. At least 4 years of research experience in