798 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" 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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computational analyses (e.g., regression, network analysis, machine learning). Academic writing skills and willingness to co-author publications. Strong problem-solving skills and ability to work independently
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(specifically PCECs). Proven experience in developing and validating numerical models (e.g., using COMSOL). Hands-on experience with programming for numerical optimization, machine learning, and data processing
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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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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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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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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