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outcomes research work in particular in the area of predictive risk modelling. The position provides the candidate a great opportunity to develop big data predictive analytic skills and work with
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with a plan for future growth. This role will also play a big part to transform the current data platform technologies into cloud based. This is a hands-on leadership role and the candidate should have
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temperatures. The successful candidate will be part of a multi-disciplinary group comprising exercise and thermal physiologists, data scientists, biomedical engineers and researchers. This role will provide you
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of successful implementations. • Define and operationalise support model for products across the portfolio. Qualifications Experience • Degree in Information Technology, Computer Science, Computer Engineering or
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on large volume of data Well-organized with good monitoring and follow-up skills within tight deadlines Confidentiality, tact and discretion when dealing with confidential data Positive attitude, able
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for the administrative management of the Open Fund - Large Collaborative Grant (OF-LCG) Programme, along with various business-related functions. This will involve cross-institutional liaison and project management
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complex information clearly. Duke-NUS-owned platforms : • Edit content for internal and external publications, and social media platforms. • Build relationships with faculty, staff, alumni, students
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deep research capabilities in sustainable and green finance, provide thought leadership in the sustainability space, and shape sustainability outcomes across the financial sector and the economy at large
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support and engaging in organisations’ L&D activities. • Manage the relationship and implementation of organisations’ manpower re-deployment plans; organisations include MNCs, Large Local Enterprises
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opportunities aligned with CDE’s goals. • Oversee the analysis of historical CDE funding data to assess research capabilities, identifying both strengths and gaps. • Develop recommendations that inform