499 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"M.V" positions at Nanyang Technological University
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managing the scheduling, data collection and quality assurance of EEG, MEG, fNIRS and fMRI research projects. You will also collaborate with researchers and directors to ensure sound technical support for
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adolescents and other related inquiries. Requirements Essential A Master’s Degree in Learning Sciences, Education, Psychology, Data Science, Educational Neuroscience or a related field; Applicants with a PhD
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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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NTU’s Wee Kim Wee School of Communication and Information seeks an Assistant Manager/Senior Assistant Manager to join our graduate programmes team. The successful candidate will will oversee
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Electronic Engineering at Nanyang Technological University. The group focuses on the development of hybrid integrated photonic chips and experimental platforms for advanced sensing and information processing
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to obtain essential information on JDs, visas, etc. Strategy management and reporting Develop strategic plan to meet KPI for ART and IRT. Study and review feedback from host organisations and students
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Academic Excellence, Dissertation, and Best Thesis Awards; maintain role-based account. Any other duties assigned. Requirements: A recognized university degree. Ability to use student information systems and
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The Office of Information, Knowledge and Library Services (OIKLS) at Nanyang Technological University seeks a passionate individual to transform library spaces to meet evolving needs of users and to
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: Electrochemical process on interface phenomena Battery testing under different conditions Simulation of scaled up process. Interface with machine learning group on data base set up Battery safety testing Presenting
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spatiotemporal systems by combining physics-driven baselines with data-driven correctors. Formulate and solve inverse problems using Physics-Informed Neural Networks and relevant methodologies. Conduct rigorous