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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and
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research, analysing user and learning data, and producing academic and grant-related outputs. Requirements: Essential PhD in Education, Learning Sciences, Educational Technology, Human-Computer Interaction
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: Furthering Adoption of Integrated Resources to Shape Integrated Learning Experiences: Primary 5 and 6 Study Project Introduction: This study delves into science learning in Primary 5 (P5) and Primary 6 (P6
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independent research, develop original ideas, and apply advanced quantitative or computational methods. Experience in statistical modeling, machine learning, experimental design, data analysis, or computational
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Science and Engineering, or a related discipline Research experience in optical imaging, structured-light three-dimensional reconstruction, computational imaging, computer vision, machine learning
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transportation contexts, and machine learning classifiers Heuristics & Solvers: Develop and refine custom heuristics and metaheuristics (e.g., Tabu Search, Genetic Algorithms) to find high-quality solutions
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the following will be a plus: • Optical instrumentation, single-molecule/ super-resolution microscopy, magnetic/optical tweezers, ultrafast spectroscopy, or other in-situ operando imaging tools • Machine
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the following will be a plus • Optical instrumentation, single-molecule/ super-resolution microscopy, magnetic/optical tweezers, ultrafast spectroscopy, or other in-situ operando imaging tools • Machine
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good academic publication record Familiar with a few key engineering software such as MATLAB, Python, R-language, and ArcGIS, etc. Good to have knowledge of network analysis, machine learning, neural
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PhD students. Key Responsibilities Develop numerical twins for digital quantum computer Develop mapping of many-body problems into class of Hamiltonians compatible with our experimental machines Report