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, including data analysis and visualisation, machine learning, computational methods, and more. If offered the position, you will participate in the following projects, based on your background and strengths
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machine learning–guided failure analysis and diagnostic capabilities for hybrid electronics. This position offers an exciting opportunity to work at the forefront of semiconductor technology, with close
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• Excellent coding skills in python with pytorch (distributed deep reinforcement learning, Transformers, etc.) • Literature review/summarizing skills
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: The appointee will be involved in the full lifecycle of research projects, from study design to publication. This includes development of machine learning models, computer simulations, and app/software
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A Research Fellow position is open in a research lab at the Department of Electrical and Computer Engineering, National University of Singapore (NUS). The Research Fellow will work closely with
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road safety analytics framework. The role involves integrating multi-source transport datasets, developing advanced analytical and machine learning models for risk identification, and supporting
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University, the Communicable Diseases Agency Singapore (CDA), the National Environment Agency Singapore (NEA), the Machine Learning & Global Health Network (MLGH), and wider regional and global partners. Key
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-being, human-computer interaction, robotics, interactive media, and immersive environments. We are looking for candidates specializing in the following topics: Soft/Textile Electronics • Research and
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machine learning–guided failure analysis and diagnostic capabilities for hybrid electronics. This position offers an exciting opportunity to work at the forefront of semiconductor technology, with close
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disruptions and in pinched plasma disruptions in dense plasma focus devices. Bremsstrahlung scattering of these energetic electrons orbiting within the machine produce gamma-rays (of energy up to ~20 MeV