847 machine-learning-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL"-"UCL" positions in Singapore
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Requirements: A Ph.D. degree in a related discipline (transportation engineering, computer engineering/science, or related disciplines) by December 2025. Expertise in AI, deep learning, and programming (e.g
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future business leaders. And we are looking to add to our BIZ family! To learn more about the NUS Business School, please visit https://bschool.nus.edu.sg/ Duties and Responsibilities Student Council and
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positive environment to grow and groom future business leaders. And we are looking to add to our BIZ family! To learn more about the NUS Business School, please visit https://bschool.nus.edu.sg/ Job
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programming skills in Python and familiarity with AI/ML frameworks. Good understanding of LLM architectures, transformer models, and machine learning fundamentals. Experience with model serving / inference
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, 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 grow. We welcome you to join our community
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Publish research papers in top-tier journals and conferences Job Requirements: PhD degree in Electrical and Computer Engineering or Computer Science Strong publication record with papers accepted/published
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Young and research intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU Singapore has launched the “Care, Serve, and Learn” (CSL
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2022. We invite you to explore https://cde.nus.edu.sg/ece/ to learn more about us and see how you could become a part of our vibrant and diverse community. More Information Location: Kent Ridge Campus
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-Centred Design/Human-Computer Interaction (Assistant, Associate or Full Professor level). We are seeking a creative and critical design researcher who works at the interface where computing technologies
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, development, and evaluation. Familiarity with design principles and planning tools that are used in creating learning environments. Familiarity with digital biomarkers, data analytics, and machine learning