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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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such as quasi-normal modes. You will lead the development of modelling codes and have primary responsibility for at least one project within the broader research program. Additionally you will contribute
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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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: 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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field. Demonstrated ability to perform research that addresses fundamental science questions. Demonstrated experience with computational chemistry methods including density functional theory, molecular
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of accession in the position. About the PhD-project Quantum theory is currently bringing a revolution to technology by introducing new concepts and advancements. However, many fundamental questions remain
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optimisation.” The successful candidate will be involved in developing new mathematical theory and designing and implementing optimisation algorithms relevant to quantum information. The Research Fellow will
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theory and digital twins, and the Data and Knowledge Management (DKM) research group, which works in sematic technologies. Both groups have a dynamic and interactive working environment with good gender
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contribute to the collaborative TQT research community. Principal Investigator: Na Young Kim Project Name: Solid-state analog Optimization Solver and Quantum Machine Learning (Theory) Research Area
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agents, including uncertainty quantification at the agent’s level. The project will bring together ideas from Statistics, Probability, Statistical Machine Learning, Statistics and Game Theory and is an