484 programming-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at National University of Singapore
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Institute (SNRSI). This position will require collaboration with global and industry partners, coordination of training programs, formulation of international engagement strategies and strengthening national
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social networks, complex system, and computer programming skills would be advantageous. The project work will be highly interdisciplinary and as such there is some flexibility to accommodate expertise from
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Professor level. We seek outstanding candidates who will establish an independent, internationally competitive research programme that advances understanding of physiological processes in health and disease
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programme, providing support for the smooth and continuous running of the “Responsible Conduct of Research” program for NUS staff and students, handling basic queries related to the programme and managing
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machine learning methods • Proficiency in transport planning software such as EMME or PTV Visum. • Programming expertise in at least one language, e.g., Python, Java, or C++. • Strong written and
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1. A PhD degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Systems Engineering, etc. 2. The candidates should have strong math, modeling, programming, and
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operational and administrative aspects of research projects within the programme. Coordinate across research teams to ensure alignment of project timelines, deliverables, and reporting requirements. Track
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., Qualtrics) • Managing and running research-driven programming and events • Preparing documentation for research ethics board reviews • Preparing interview/focus group questionnaires • Assisting in
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CoRE 2.0's strategic plan and identifying new areas for growth. • Proactively identify and pursue opportunities for strategic partnerships, collaborative projects, and external funding from government
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(NIRBA Operations) provides scientific expertise to support the operational management of NIRBA, ensuring that research governance, operational processes and programme infrastructure effectively support a