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: Develop novel machine learning theories and techniques for analyzing noisy time-series data, with a particular focus on seismic signals Perform uncertainty quantification in time-series analysis to assess
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academic, social-emotional, and critical learning in secondary humanities and English classrooms in Singapore. Inclusive pedagogy, as defined in this study, refers to a body of teaching theories that affirm
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ecological theories to advance our understanding of ecosystem functions and their response to climate change. Job Description The ideal candidate is expected to be highly creative, have strong numerical and
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, NeurIPS, ICML, ICLR, and etc. Experience in interdisciplinary studies of deep learning, mathematics, and physics is preferred. Strong theoretical background in quantum learning theory, quantum many-body
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role will focus on nanophotonics theory and modelling. Key Responsibilities: The Research Fellow will work on a project to conduct the research on development of nanophotonic structures for quantum and
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systems, MARL, Game Theory. Strong background in Mathematics and modelling. Good English writing and communication skills for research work. Proficiency in Python, experience with PyTorch, NumPy, and
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analysis (e.g., knowledge of Qualtrics, R, Python, etc., with strong statistical theory). An outstanding research record appropriate to the present stage of career, with evidence of potential for producing
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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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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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: 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