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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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: 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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PhD and honours students with their projects as needed (e.g., help with code, advise on study design, etc.) Build prereading for EARP Lab potential joiners; support onboarding/mentorship Propose new