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mathematical modeling framework to find the optimal operation strategy for public transport services with autonomous vehicles Conduct computer programming to verify the efficiency of the designed solution
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conducting in-depth literature reviews on topics such as social cohesion, religiosity, ethnicity, and nationalism, as well as carrying out multivariate analyses on cross-national data to assess social cohesion
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, with an outgoing personality and strong stakeholder management skills • Willingness to work after office hours and on weekends, when required. More Information Location: Kent Ridge Campus Organization
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up to date with CREST news and programme information, and regular updates are sent to the community Qualifications A degree in any discipline, with at least 3 years working experience Candidates with
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: Perform tasks and support all aspects of the research project. Conducting literature reviews and scoping reviews; synthesize and summarize research findings. Support data acquisition, cleaning, management
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in synthesis, materials characterisation, electrochemistry, photoreactions Competent in Microsoft Office suite, Origin and software for processing scientific data Ability to work independently Able
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an emphasis on technology, data science and the humanities. We are seeking a motivated Research Associate to support a haematology image-analysis project, contributing to the development of machine-learning and
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Governance, Process Innovation & AI Adoption Design and govern AIDF’s digital transformation roadmap, including AI-enabled workflow automation, data and reporting capabilities. Set up transformation governance
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focused on the integration of non-conventional geothermal energy (EGS/AGS) into data centre cooling systems in Singapore, including geothermal-assisted cooling architectures, absorption chilling, heat pumps
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experience, offering hands-on experience in integrating spatial data with qualitative and survey-based insights. The project team consists of Principal Investigator (PI) Professor Elaine Ho (Department