317 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at National University of Singapore
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). Proficiency and independence in developing Python‑based machine learning / artificial intelligence models (e.g., LSTM or time-series models) to predict the long-term properties of bioactive materials (mandatory
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machine learning algorithms. • Has laboratory experience in designing, conducting, and instrumenting structures. • Strong written and spoken communications. • Open to fixed-term contract Apply now
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machine learning and AI, including experience with LLMs, multimodal models, or reinforcement learning. ● Experience with engineering design and simulation tools (e.g., AutoCAD, SolidWorks, FEA) is an
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and interpretable machine learning systems. The successful candidate will work on projects involving ensemble learning, large-scale data analytics, and high-performance model design, aimed at developing
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role in designing composites materials using inorganic solid electrolytes using computational modelling and machine learning. Qualifications • Ph.D. in Materials Science, Chemistry, Physics, or a
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that delivers real-time, hyperlocal information on urban heat risks in tropical cities. Leveraging Doppler lidar–based microclimate studies and machine learning, the research emphasizes vulnerable groups
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and interpretable machine learning systems. The successful candidate will work on projects involving ensemble learning, large-scale data analytics, and high-performance model design, aimed at developing
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, Imperial College London, Ashoka University, the Communicable Diseases Agency Singapore (CDA), the National Environment Agency Singapore (NEA), the Machine Learning & Global Health Network (MLGH), and wider
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intelligence, machine learning, pattern recognition, and digital image processing, particularly in biomedical or histopathology applications. Hands-on experience in designing and implementing deep learning
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, machine learning, pattern recognition, and digital image processing, particularly for biomedical or histopathology applications. Demonstrated ability to design, implement, and optimise numerical and