1,443 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions in Singapore
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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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, immunology and molecular biology is required. Able to travel occasionally for conferences, project sites and meetings with collaborators. Possess strong interpersonal, communication, computer, writing and
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the area of efficient and interpretable machine learning systems. The successful candidate will work on projects involving ensemble learning, large-scale data analytics, and high-performance model design
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, with demonstrated excellence in both methodological research and clinical application of artificial intelligence and machine learning (ML). The candidate will contribute to high-impact research
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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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high-impact publications. 2-year appointment, with potential for extension subject to performance and fund availability. Responsibilities Develop advanced statistical and machine learning modeling
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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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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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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