493 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at National University of Singapore
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for machine learning and artificial intelligence, with a strong emphasis on developing and applying models such as LSTM and other time-series analyses to predict the longevity and behaviour of bioactive
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technical problem-solving impact. Identify real-world AI projects that build software engineering depth and machine learning pipeline skills of workforce for certification readiness. Contribute to knowledge
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and the associated vulnerability patterns in aging and neuropsychiatric disorders using multimodal neuroimaging and machine learning methods. We are interested in the large-scale brain structural and
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emergency protocols. • Promote a culture of continuous learning and improvement, aligned with the Executive Centre’s focus on innovation and sustainability. Crisis Management & Safety • Lead the response
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Technologies (CQT) The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based
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reactions, or transport mechanisms. • Experience in data-driven modeling or machine learning applied to membrane materials or separation performance analysis is a strong advantage. • Candidates with strong
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candidates with a deep passion for AI and LLM-related research, and their applications in the financial domain. The selected candidate will play a key role in advancing our machine learning, large language
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into heat health research are strongly encouraged to apply as well). Experience in statistics, data analysis and visualisation software (e.g. SPSS, Power BI), and computer applications (e.g. Microsoft Office
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for Quantum Technologies (CQT) The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices
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to propose, develop, and implement advanced Artificial Intelligence / machine learning models and pipelines to augment clinical workflows in NUHS cluster. The candidate will also ensure the adequacy and