67 master-"https:"-"https:"-"https:"-"https:" research jobs at Nanyang Technological University
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Title: Main Study of CORE 4 Research Programme: Education Trend Studies of Designated Subject Domain (DSD) Pedagogies in Singapore’s Primary and Secondary Classrooms (C4MS). Project Introduction: The Core
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model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised
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model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised
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, with experience in conducting empirical studies Proficiency in both written and spoken English and Mandarin, to conduct orientation sessions with teachers who use Mandarin as their primary language on
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. We expect the drivers of educational pathways to be interrelated, and (d) through retrospective investigation, the factors at early childhood and primary school that contribute to educational pathways
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at NTU LKCMedicine is actively recruiting talented postdoctoral research fellows, research assistants, and interns, and also open to sponsoring motivated PhD/Masters students. A short-term or part-time
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statistical tools and mixed methods (linguistic and sociolinguistic analysis), Drafting and writing of academic or other reports, Administrative duties and any other duties as assigned by Principal Investigator
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We are looking for a Research Assistant to support the division’s mission of advancing impactful research by working closely with the Principal Investigator and lab members on one or more ongoing
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writing of research reports, journal articles and related publications Assist with other related project matters as assigned by the Principal Investigator Application Applicants (external and internal) will
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of Tokyo and Associate Professor Atsushi Nitanda from A*STAR. Key Responsibilities: Research & Development Conduct original research in deep learning, related to uncertainty quantification for large models