284 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "ETH Zürich" research jobs at Nanyang Technological University
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setting Knowledge and experience in Educational AI-related projects and research is important. Responsibilities: Working with related LLM and database, Data scanning and collection, data analysis with
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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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research data in both languages. Competence in data organisation, transcription, and basic qualitative analysis. Good working knowledge of digital tools for documentation, data storage, and 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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summarize relevant findings. Assist in preparing research instruments, protocols, and interview/fieldwork schedules. 2. Data Collection & Fieldwork Recruit research participants and manage outreach. Conduct
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Established in 1992, the Wee Kim Wee School of Communication and Information (WKWSCI) is the only full-fledged communication school in Singapore and is a world-class centre of excellence with
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findings and increase outreach. Support follow-up on collaborative and engagement activities with partner organisations, government agencies, and early-childhood networks, including coordinating information
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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