138 data-science Fellowship positions at Nanyang Technological University in Singapore
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The College of Computing & Data Science (CCDS) invites applications for the position of Research Fellow. Key Responsibilities: Research and develop a methodology/framework for 2D/3D object detection
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The College of Computing & Data Science (CCDS) is seeking a research fellow to join a university-level research centre. The position is for one year, renewable subject to satisfactory performance
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publish findings in high-impact journals. Mentor junior team members and contribute to the development of their skills. Stay up-to-date with the latest developments in AI, data science, and medical research
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The School of Computer Science and Engineering (SCSE) invites applications for the position of Research Fellow. The Research Fellow will conduct research on improving AI algorithms and pilot
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. Carry out administrative work associated with the program of research as necessary. Job Requirements: PhD degree in communication, psychology, sociology, social science, information, or a computer science
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output through increased paper publication; Diagnosing the issue and resolving it on demand. Job Requirements: PhD Degree in Computer Science, Computer Engineering, Electrical Engineering, Information
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for asymmetric catalysis and C-H functionalization. Key Responsibilities: Conduct routine lab research and data analysis in organic chemistry and organometallic chemistry. Assist in instrument installation and
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The School of Civil and Environmental Engineering (CEE) is inviting applications for the position of Research Fellow. The Research Fellow will support the research for the project involving the use
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The School of Civil and Environmental Engineering (CEE) is inviting applications for the position of Research Fellow. The Research Fellow will support the research for the project involving the use
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documentation. Job Requirements: PhD degree in Civil Engineering or in Engineering in a closely relevant field. Familiar with data and models, and software used in exposure and loss modelling. Competency in