1,356 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" "IFM" "IFM" uni jobs in Singapore
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to 2 years. Job tasks The successful candidate will assist in work towards identifying personas. Responsibilities include data collection via API and social media listening tools, as well as conducting
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closely with the project team to perform task assigned. Key Responsibilities: Conduct literature search and conceptualize theories to methodology Conduct qualitative and/or quantitative data analysis Lead
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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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, develop presentation slides for meetings, record meeting discussions, collect data and feedback for reporting and review of graduate programmes. • Manage the end-to-end administration for the graduate
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confocal imaging Assist in data analysis, interpretation of experimental outcomes, and preparation of manuscripts for publication Supervise and train junior researchers and contribute to laboratory
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handling confidential information with respect to prospects and donors’ information. • Experience in higher education will be a plus. More Information Location: Kent Ridge Campus Organization: Yong Siew Toh
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/Applied Mathematics/Computing/Data Science or related areas. Skills: - Able to convey information in a clear, concise, and interesting manner. - Able to work cooperatively as a member of a team and manage
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Programme applications. • Prepare admissions listings, follow up action items, and analyse application/offer/acceptance data for reporting to the Programme Manager and Deputy Head (Graduate Programmes
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spoken communication skills. • Service-oriented. • Effective oral and written communication skills. • Proficient with Microsoft skills. • Open to fixed-term contract. More Information Location
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statistics, data science, mathematics, computer science, or a related field, with a minimum of 2 years of relevant teaching or professional experience. A strong foundation in areas such as data analysis