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purchasing, liaising, networking, field work. Job Requirements: Bachelor qualification degree in Engineering or computer science or related field At least 1 years of relevant experiences in data assimilation
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research methods (e.g. interviews and ethnography) alongside knowledge of Geographic Information Science applications (e.g. ArcGIS, QGIS) will be an advantage Skills in using qualitative analysis software
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NTU is a world-class research-intensive university located in Singapore, consistently ranked among the top universities in Asia and the world. We are home to over 36,000 students and 10,000 staff, offering a vibrant and dynamic work environment for individuals seeking to advance their...
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Centre for Research on the Economics of Ageing, which leads a $10 million multidisciplinary project on Singapore’s ageing population secured under MOE’s Tier 3 competitive grant programme. Qualifications
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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Requirements Master qualification degree in Electronic Engineering or Computer Science Familiarity with pinching antennas and machine learning Good written and oral communication skills Proficiency in python
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systems, reservoir computing, forecasting, and learning of dynamic processes. He/she will also explore the writing of research with MAS colleagues, as well as explore collaborations with colleagues from
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Information Science applications (e.g. ArcGIS, QGIS) will be an advantage Skills in using qualitative analysis software will be an advantage Conversational proficiency in one or more of the following languages central
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, Computer Science, Engineering, or a related field. Minimum 3–5 years of relevant work experience. Proven experience in data analysis, visualisation, and storytelling—translating complex datasets into actionable