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protocols for environmental quality that can be upscaled to Singapore’s public housing estates and beyond. It involves the use of remotely-sensed data (e.g. satellite imagery) and the deployment of networked
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, etc. • Prior experience/knowledge of the following models, software/programming languages will be preferred: o Extreme value analysis o Land surface modeling and/or remote sensing; Water
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visualisation tools (e.g. Power BI, Tableau, or Qlik Sense) • Domain knowledge in graduate education, and general knowledge of the CET business • Possession of soft skills including: • Verbal and written
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environments, integrating remote sensing and field data • Work closely with other researchers as an effective team member • Design field studies and data collection campaigns, data processing and analysis
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following scripting/programming languages: Python, R, Java, C++, C#.Net, SQL. Proficiency in using Business Intelligence tools (e.g. Power BI, Tableau or Qlik Sense) Experience in applying machine learning
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communication and writing skills • Effective interpersonal and communications skills, with ability to relate well with people at all levels and good service orientation. • Possess a nuanced sense of what
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Job Description The Centre for Remote Imaging, Sensing and Processing (CRISP), in collaboration with NUS Environmental Research Institute (NERI) and Department of Civil and Environmental Engineering
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sensing, quantum communication and security and quantum computing. The programme was launched in 2018 by the National Research Foundation, Singapore and is hosted by the National University of Singapore. We
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, and sensing. CQT is hosted by the National University of Singapore and also has staff at Nanyang Technological University. With some 180 researchers and students, it offers a friendly and international