821 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Singapore
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demonstrated excellence in both methodological research and clinical application of artificial intelligence and machine learning (ML). The candidate will contribute to high-impact research addressing complex
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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and
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on Thurlings et al.’s models of feedback processes, most feedback in computer systems is cognitivist in nature. The advancements in LLMs appear promising in bridging this dialogic gap in feedback and learning
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Science, in particular, courses such as: Digital Payment and Innovation Applied Machine Learning Digital Transformation Strategy (digital) Product Management Spreadsheet Modeling Masters degree or PhD degree in
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machine learning algorithms to automatically generate discoveries from large-scale brain imaging data. We aim to uncover fundamental principles of healthy brain development, understand how brain
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research team as a Research Engineer. The successful candidate will support ongoing research initiatives by applying advanced machine learning, NLP, and large language models (LLMs) to develop next
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safe working environment. Qualifications Polytechnic Diploma in an engineering field or other equivalent engineering qualification Experience in engineering work, lab operation Basic computer skills such
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statistical and machine learning modeling to conduct data analyses for large-scale multimodal (genomics, omics etc) studies. Conceptualise new ideas, lead data-driven discoveries, ensuring in-depth assessment
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, building automation and control (BAC) system, Artificial Intelligence (AI) & Machine-Learning (ML) applications. Good written and oral communication skills Proficiency in power system modelling, advanced
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a Research Fellow to contribute to a project focused on focused on data-driven discovery of atomic catalysts. Key Responsibilities: Theoretical predictions using DFT and machine learning, and