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on progress and report writing Job Requirements: PhD degree in chemical engineering or closely related field Good understanding of LCA and TEA theories and calculations Experience on ASPEN-HYSYS and LCA
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to educational contexts Understanding of learning theories, instructional design, or pedagogical innovation in higher education Experience with learning platforms, learning analytics, or educational research tools
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: Research activities related to Quantum Machine Learning, Agents and Information Theory Job Requirements: For the Research Fellow position, the candidate must hold a Ph.D. degree in quantum information
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trust. Requirements: PhD degree in computer science, mathematics, information theory or relevant field At least 4 years of relevant experiences in post-doctoral role Good written and oral
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lifetime imaging. Broad knowledge and hands-on training of design, theory and operation of advanced light microscopy systems, including skill and experience in their operation. Mechanical and electronic
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at the NUS Business School, Department of Analytics and Operations. The research fellow’s primary duty involves conducting research, including model development, theory building, data analysis, and possibly
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for measuring patient reported outcome measures in the population of Singapore based on the efficient application of Natural Language Processing and Item Response Theory to existing measurement systems working
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independently and in teams ● Some knowledge of music/music theory is strongly desired Duration and Other Details ● Position available immediately ● Competitive salary and benefits ● The candidate must
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independently and flexibly in small and large teams Preferred: Knowledge of educational and psychosocial theories of human development Interest and experience in topics outlined in the Project Introduction
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in developing physical models using graphs, simplicial complexes for molecular representation, featurization, and learning, particularly in the context of nucleic acids such as DNA, G-quadruplex