667 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Nanyang Technological University in Singapore
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Proficiency in ionic liquid handling and techniques Excellent written and verbal communication skills Ability to work independently and as part of a team Experience with machine learning in engineering is
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& Undergraduate Programmes (TEUP). Job Description Part-Time Lecturers are engaged for teaching duties such as conducting lectures, tutorials and practicum supervision. Please refer to https://www.ntu.edu.sg/nie
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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 . We are seeking a pedagogically
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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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, machine learning, and life cycle assessment, we aim to create sustainable wearable systems to enhance human well-being. For more details, please view https://www.ntu.edu.sg/mse/research . We are seeking a
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking to hire a research fellow (postdoc) to undertake a project to develop efficient AI and Machine
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The National Institute of Education invites suitable applications for the position of Research Assistant on a 17-month contract at the Learning Sciences & Assessment Department . Project Title
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Technological University, Singapore, invites qualified candidates to apply as Part-time Lecturer for DD1102 Global Perspectives on Visual Culture. The Part-time Lecturer is expected to teach lectures and
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Research Fellow to support
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computational electromagnetics and electromagnetic simulation techniques. Experience in AI-based RF transistor modelling is highly desirable. Solid knowledge of machine learning algorithms and their application