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Nanyang Technological University’s National Centre for Research in Digital Trust (DTC) is a Trust Technology Research Centre to execute a national program to help put Singapore into a strong trust
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Research Fellow under a new programme centered on the culture and politics of social media discussions. Job Description* As a Research Fellow with the SMOL project, you have demonstrated an exemplary track
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science components in research programmes aimed at improving primary care. Here are the key aspects of the job: Data Management: Acquire, manage, and curate clinical and research data in compliance with
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Research grant application Supervise postgraduate student projects Support the teaching programme in the department and medicine school Main Duties and Responsibilities The Research Fellow will be able
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training and have opportunities to participate in faculty development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One
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training and have opportunities to participate in faculty development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One
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with project timeline and resource requirements Development of data collection and storage framework Plan and perform the collection of information from various alternative, non-traditional data sources
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of Patient Reported Outcome Measures using advanced psychometric methods and publication and dissemination; Establishing an independent research programme derived from the current project; Providing support
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perception and consumption of online news. Lead the recruitment of participants for experiment sessions. Plan the necessary logistics for the administration of survey experiments and prepare IRB documentation
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to the programme of research. Job Requirements: PhD’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent