195 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" Fellowship research jobs at Nanyang Technological University
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5, with a particular emphasis on empirical analysis, AI-enabled data construction, and policy-relevant research outputs. Duties and Responsibilities: Design, develop, and execute empirical research
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-throughput synthesis, automation, and data-driven approaches. Key Responsibilities: Design and execute high-throughput synthesis workflows for solid-state materials, including intermetallics, chalcogenides
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environmental conditions Design and implement rigorous study Conduct wet-lab experiments Perform in-depth, critical data analyses Effectively communicate through presentations and high-quality journal
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NTU’s College of Humanities, Arts and Social Sciences (CoHASS) includes four schools: Humanities; Social Sciences; Art, Design and Media; and the Wee Kim Wee School of Communication and Information
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AI/ML models for predicting materials properties using data-driven approaches, including the treatment of disordered inorganic materials. Develop codes as necessary to assist existing and new code
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implement rigorous study Conduct wet-lab experiments Perform in-depth, critical data analyses Effectively communicate through presentations and high-quality journal publications Assist in supervising research
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an emphasis on technology, data science and the humanities. SG100K, spearheaded by Prof. John Chambers, is a landmark population cohort study of 100,000 Singaporeans of diverse ethnic background. The cohort has
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applied physics, including quantum information, condensed matter physics, biophysics, and photonics. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as
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on musculoskeletal health in occupational and community settings. Design and implement cohort-wide studies using questionnaires, interviews, and real-time task observations. Collect multimodal data via motion-capture
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an emphasis on technology, data science and the humanities. The PRECISE-SG100K is a landmark population cohort study of 100,000 Singaporeans of diverse ethnic background. The cohort has completed recruitment