285 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Here We Are" research jobs at Nanyang Technological University
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an emphasis on technology, data science and the humanities. We are part of the Lee Kong Chian School of Medicine at Nanayang Technological University. Our research focuses on uncovering the cellular, molecular
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, and materials micro-structural analysis (e.g. XRD, SEM, MIP, TGA, and FTIR). Good English writing and communication skills - essential for data analysis and communication with stakeholders Experience in
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schools, such as the School of Mechanical and Aerospace Engineering (MAE), the School of Electrical and Electronic Engineering (EEE), and the College of Computing and Data Science (CCDS). Responsibilities
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advanced data analysis methods, simulation tools, and scientific programming to support process modeling and predictive materials design. Translate experimental findings into scalable, commercially viable
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qualitative research methodology Meticulous with good organizational skills, especially in managing reference libraries and research data Ability to support and write-up sections in academic writing and
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an emphasis on technology, data science and the humanities. We are looking for a Research Associate / Research Assistant to work with Dr Liu Meng at the Lee Kong Chian School of Medicine, Nanyang Technological
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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of lab-scale and pilot-scale experiments/operations with element of machine learning, sample characterizations, data analysis, and so on. Job Requirements: PhD degree in Materials Science, Polymer Science
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measurements, the candidate will assess the classroom environment and teacher-child interactions, administer standardized developmental tests, and contribute to behavioral coding and data analysis. The incumbent
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their Bachelor’s degree by Summer 2026 are welcome to apply. Experience in research involving young children Experience with data management and analysis Proficiency with data management and analysis tools (e.g., R