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(Teaching & Learning), CTLT Qualifications at least a master’s degree in education or a related field - knowledge of latest developments, trends and theories in academic development; education, education
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professional and academic standards worldwide and are responsive to student interests and evolving global needs. Post-graduate programs combine theory and practice, offering MA and PhD by research and a MA in
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to support efforts to conduct mobility research for paving the way for Singapore's future land transport system. Key Job purpose Research into application of classical flow theories in modelling a
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quantification, explainability, and decision-making under uncertainty. We aim to push the boundaries of theory and practice in these areas, developing principled methods that address fundamental and applied
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Maxwell’s equations – strong foundations in quantum electrodynamics (QED) are a significant bonus. The role of SRF will focus on developing ab initio theory and developing software to describe and study
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robotics systems. • Strong mathematical background with solid knowledge in numerical optimization theory. Familiarity with semidefinite programming and its convex relaxation techniques is highly preferred
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leadership role in advancing the research agenda within the group, developing new directions in cryptographic theory and practice, and mentoring junior researchers. Responsibilities include leading
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Responsibilities: Explore the frontiers of intelligent sensing by advancing cutting-edge theories and pioneering transformative technologies. Integrate wireless sensing with Large Language Models (LLMs) to pioneer
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the implications of data-driven methods for building and validating communication and/or information theory. Candidates must have experience with computational techniques using R or Python and the ability to teach
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. The focus will be on deriving efficient algorithms with provable statistical guarantees, using tools from: high-dimensional statistics, optimization, probability theory, approximation theory etc