154 Education-"https:"-"https:"-"https:" Fellowship positions at Nanyang Technological University
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social sciences, enabling them to develop strong, independent research portfolios while contributing to the College's research, teaching, and intellectual life. Key Responsibilities: Fellows will be
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model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised
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and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics
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. The Postdoctoral Fellows are given the opportunity to participate in a broad range of interdisciplinary activities and programs that characterize NTU’s approach to research and education. Key Responsibilities
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model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised
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. Develop computer programs for automated data acquisition and data analysis. Perform data analysis and interpretation and prepare manuscripts for scientific publication and technical reports for funding
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networks at reputable international conferences Mentor graduate students and report to PI as required Organize internal events (reading groups, seminars, etc.) as required Perform teaching and invigilation
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for partial differential equations, and multiscale partial differential equations. The candidate will develop efficient numerical methods for solving the problems, and implement the numerical algorithms
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model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised
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models Identify the weaknesses of existing models Propose and develop state-of-the-art methods to overcome existing problems. Train and evaluate the models and systemically compare them with recent models