192 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" Fellowship research jobs at Nanyang Technological University
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The Asian Communication Research Centre (ACRC) at the Wee Kim Wee School of Communication and Information (WKWSCI) is seeking a highly motivated and experienced Senior Research Fellow to lead and
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an emphasis on technology, data science and the humanities. We are looking for a Research Fellow in the Bio-Data Science and Education Laboratory to work on AI in mental health. The role will focus
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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depletion microscopy (STED) super-resolution microscopy, time-resolved fluorescence spectroscopy and fluorescence lifetime imaging. Analyse microscopy images and time-resolved fluorescence spectroscopy data
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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information, cryptographic engineering, and security testing and evaluation. Together, the team develops novel security evaluation frameworks that advance the testing, evaluation, and assurance of quantum
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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the design principles of effective arts-based programmes into practice. We are seeking applicants with a PhD and demonstrated expertise in data collection (in laboratory and/or school settings), advanced data
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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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advanced data analysis methods, simulation tools, and scientific programming to support process modeling and predictive materials design. Translate experimental findings into scalable, commercially viable