200 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" "UCL" "UCL" "UCL" Fellowship research jobs at Nanyang Technological University
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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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-specific abilities acquired through training e.g. specific programming languages, numeric and analytical skill Competent in soft skills / general personality traits e.g. information visualization
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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
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mathematical modeling framework to find the optimal operation strategy for public transport services with autonomous vehicles Conduct computer programming to verify the efficiency of the designed solution
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research grants in the above areas Job Requirements: A PhD degree in Computer Science, Data Science, Engineering, or a related field. Research experience in Computer Vision, Image Processing, Multimedia