31 big-data Fellowship research jobs at Nanyang Technological University in Singapore
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physical activity and/or diet) or environmental epidemiology. Experiences of analyzing large-scale population data. Experiences working with electronic health records (desirable). Understanding of clinical
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record in research and publication. Experiences of analyzing large-scale population data. Experiences working with electronic health records (desirable). Understanding of clinical informatics approaches
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an emphasis on technology, data science and the humanities. LKCMedicine is seeking to appoint a full-time Research Fellow to work on the IN-CYPHER Programme. IN-CYPHER is Imperial Global Singapore’s inaugural
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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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large amounts of specimens and data Candidate must be an independent worker Prior experience with stable isotope analyses and stack photography is advantageous, but not a requirement for application We
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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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PyTorch or TensorFlow, is highly advantageous. Experience in developing and deploying machine learning models, particularly in natural language processing (NLP) and large language models (LLMs), including
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socio-development contexts. Applicants with interest in doing post-graduate/doctorate studies, honing their skills in conducting advanced data analysis and publishing research papers are invited to apply
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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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, physics, artificial intelligence, machine learning, topological data analysis, and statistics. We are interested in analyzing big data of complex systems such as DNA, RNA, biological networks, social