1,323 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" positions in Singapore
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computer science, Computer Applications, Engineering or related field At least 8 years of relevant experiences in similar role / technical hands-on experience with distributed systems, cloud platforms, and real-time
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and machine learning. Knowledge of the basics of federated learning and causal inference is highly encouraged. Proven track record in research and development of machine learning algorithms. Proficiency
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The National Institute of Education invites suitable applications for the position of Research Associate on a 24-month contract at the Science of Learning in Education Centre (SoLEC) . Project Title
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The National Institute of Education invites suitable applications for the position of Research Associate on a 5-month contract (with possibilities of extension) at the Science of Learning in
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
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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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computer vision and machine learning. To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community. To undertake any other duties
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skills In-depth knowledge relevant to the project domain (including algorithms, systems, data structures, machine learning). Demonstrated capability to conduct innovative research. Ability to design and
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The National Institute of Education invites suitable applications for the position of Research Fellow on a 9-month contract at the Office of Graduate Studies and Professional Learning . Project
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the Office of Information, Knowledge and Library Services (OIKLS). Reporting to the University Librarian, this role is about helping shape the future of how students and faculty learn and teach at NTU