419 machine-learning-"https:"-"https:"-"https:" positions at Nanyang Technological University
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, logistics management, machine learning, deep learning, and optimization; Proficient in written and spoken English - essential for data analysis and communication with stakeholders Interpersonal skills with
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of being An Institute of Distinction: Leading the Future of Education and our mission to Inspire Learning, Transform Teaching and Advance Research. Read more about NIE here . NIE invites applications
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The National Institute of Education invites suitable applications for the position of Research Associate on a 12-month contract at the Office for Research . Project Title: Optimising Learning in
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Nanyang Technological University, Singapore (NTU Singapore) is a leading research-intensive university known for its strong focus on innovation, interdisciplinary learning, and creating meaningful
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cutting-edge research is carried out on a wide range of topics ranging across programming language (especially Bayesian statistical probabilistic programming), statistical machine learning, generative AI
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methods in meteorology (atmospheric data assimilation). This contributes to the cutting-edge research expertise of the College and the University in the strategic areas of Machine Learning, Statistical Data
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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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technologies, including Generative AI, Agentic AI, Machine Learning, Robotic Process Automation (RPA), and digital productivity tools, and translate them into practical business solutions. Promote a culture of
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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 and Engineering, or a related discipline Research experience in optical imaging, structured-light three-dimensional reconstruction, computational imaging, computer vision, machine learning