216 parallel-computing-numerical-methods research jobs at National University of Singapore
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aspects of health at NUS and in Singapore, and beyond; and to develop interdisciplinary translational research and evaluation methods to support our evidence-based approach. We aspire to become the leading
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expertise in biostatistics, bioinformatics, or computational biology. The successful candidate will join a dynamic and interdisciplinary team focusing on the development and application of novel statistical
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holders with relevant research experience may be considered. Work experience: Prior work experience (at least 1 year) and familiarity with qualitative research methods and best practices is preferred
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using advanced methods. Research Preparation: Lead and assist in preparing research studies, grant proposals, ethics applications, and presentations. Research Management: Coordinate research activities
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bipolar Na-ion cells will be fabricated using existing proto-type facility at NUS. Besides testing their storage performances, the team intends to use electrochemical methods including impedance
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methods in applied health and/or social sciences. Proficient in English with excellent writing and analytical skills. Familiar with concepts relevant to geriatrics and gerontology research. Motivated
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, to advance medicine and improve lives through cutting-edge research and education. The Signature Research Programme in Health Services and Systems Research (“HSSR”) at Duke-NUS is a centre of academic
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Research Design and Execution: Design and implement qualitative research studies that address pressing challenges in ageing and population health. Conduct applied research focused on informing programme
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wearable devices. Investigate new materials and fabrication methods to improve the flexibility, efficiency, and scalability of wearable electronics. Collaborate with multidisciplinary teams, including
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with cells and tissues using quantitative methods who seeks more exposure to biophysical/mechanobiology approaches, or someone with a more computational/physics background who is eager to apply