658 parallel-computing-numerical-methods positions at National University of Singapore
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of administrative policies and procedures to ensure operational compliance and effectiveness. Provide administrative support for the Centre’s Data Analytics and High-Performance Computing (HPC) Services, including
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.Programme Logistic • Preparing engagement letters and contracts to Faculty/Speakers. • Preparing programme evaluation report. • Upkeeping data entry to facilitate data analysis across all programmes
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Have familiarity with qualitative research methods, qualitative analysis and data analytical tools such as Nvivo and Qualtrics Have strong English communication, with an ability to write in a clear and
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to ensure that the department's operational demands are met. He/she will provide general support in admin/HR & building facilities, procurement, programme support, and PA duties. Job Description Office
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execution. 4. Strategic Planning & Stakeholder Engagement Develop annual and quarterly marketing plans aligned with the goals of the programme office. Provide performance insights and market intelligence
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collate alumni data from various sources e.g. SAB. MOHH. 2. Maintain alumni database and track performance of graduates from Duke-NUS MD, MD-PhD programme for outcome management and submission of reports
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quality. Proficiency in Stata and the ability to query large datasets. Have good understanding of quantitative methods in applied health and/or social sciences. Proficient in English with excellent writing
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) Programme is focused on understanding the structure and function of the nervous system, and the neural mechanisms underlying human neurological, psychiatric and ophthalmological disorders. The laboratory
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) Programme is focused on understanding the structure and function of the nervous system, and the neural mechanisms underlying human neurological, psychiatric and ophthalmological disorders. The laboratory
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Responsibilities Designing and managing a programme of research to meet agreed objectives. Working closely with experimental and data scientists in the group to ensure the progress of the project. Oversee