1,964 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "The University of Gothenburg" positions in Singapore
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who enjoy working in a fast-paced academic environment and engaging multiple stakeholders. Key Responsibilities: Analyze and consolidate various data to support Undergraduate Programmes decision-making
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account records; handle remaining research WBS claims/billings; manage computer replacement budget and asset tagging; assist HoD with Concur. HR/Academic: Coordinate recruitment logistics; support
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the Office of Information, Knowledge and Library Services (OIKLS) within SASD, this position will contribute to the Library’s purpose of ensuring that NTU community has seamless access to information and
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funding matters. Manage academic-related events for graduate students, as well as programme outreach, publicity, orientation and adhoc student events. Consolidation and preparation of data and statistics
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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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environment. 8. Open to Fixed Term Contract. More Information Location: Kent Ridge Campus Organization: College of Design and Engineering Department : Electrical and Computer Engineering Employee Referral
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, etc). • Responsible for the sterilization of surgical equipment and instruments and ensure that all equipment and instruments are in proper working condition. • Provide information / education on
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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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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
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research grants in the above areas Job Requirements: A PhD degree in Computer Science, Data Science, Engineering, or a related field. Research experience in Computer Vision, Image Processing, Multimedia