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equations – strong foundations in quantum electrodynamics (QED) are a significant bonus. The role of RF will focus on developing ab initio theory and developing software to describe and study groundbreaking
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the growth and development of students’ 21CC; and (3) To build a foundation for a theory of transference of learning and skills across domains by exploring the potentials of AIIBL for cross-disciplinary
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collection and entry, analyses and reporting, including developing graphs from data collected Perform administrative and research-related work required or assigned by the supervisor Job Requirements: Bachelor
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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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specific scope. Academic experience counts. Familiarity with required scope (e.g. national codes and standards) Good written and oral communication skills (if applicable) Proficiency in probability theory
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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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, 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