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to behavioural and population health data relevant to Singapore’s diverse communities. Develop predictive and explainable machine learning/deep learning/genAI models using multimodal cross-section and longitudinal
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Senior Research Fellow to direct projects and develop methodologies to support CoSM’s leadership in healthcare emissions measurement and net zero planning. The postholder will oversee a small team and
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modelling projects. This position will report directly to Senior Health Economists in the Health Economics Lab and offer an excellent opportunity to develop and refine in demand skills in applied health
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for three highly motivated Research Fellow to join Associate Professor Xia Kelin's team at the School of Physical and Mathematical Sciences. The project focuses on developing Mathematical AI techniques
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advance research in computer vision, machine learning, and/or robotics for the digitalization, monitoring, and automation of civil infrastructure. The role will focus on developing innovative methodologies
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dedicated scientific and technical support for the development of advanced AI methods and foundation models in computational biology, ensuring the timely execution of funded research projects and the
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activities which include: Design, implement, and evaluate research studies in palliative and end-of-life care Conduct data analysis (quantitative, qualitative, or mixed methods) and prepare manuscripts
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to collaborate in developing competitive research grant applications. Applicants must indicate the Research Cluster(s) concerned in their research proposal. Job Description Researchers will work under the
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progress. Ability and willingness to work some flexible hours. Extensive experience in large-scale pre-training of large language model. Experienced in developing machine learning algorithms and large
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to the development of synthetic organic or polymer materials and their applications in sustainability. The candidate is expected to have a strong background in Synthesis, Engineering, or Materials Science. More