821 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Singapore
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) is a vibrant "living-and-learning" community of around 650 NUS students, As part of their residency, sudents participate in a two-year academic programme that complements their majors by supporting
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., • Interest in developing risk prediction models via deep learning/machine learning. • Have strong background in DL, EEG data and programming for the implementation of proposed methods. Apply now
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AI, Statistical machine learning, Large Language Models, Stochastic optimization, Transfer & Evolutionary optimization, Bayesian optimization or Complex Design Optimization. Key Responsibilities
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-machine teaming. Moreover, the consequences of such digital transformation are explored in the context of workforce and labor developments, organisational innovation, and learning/education. About the
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processing, ship performance analysis, machine learning algorithms (Deep learning, Reinforcement learning, etc.); Proficiency in written and spoken English - essential for data analysis and communication with
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industry to enhance student learning, employability and programme relevance. The key responsibilities include (but not limited to): Overseas Immersion Programmes: Collate budget for each overseas course in
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portfolio of AI/ML project(s) that showcases ability to deliver solutions from scoping and data analysis through to deployment and documentation. • Applied Machine Learning: Possess deep, practical knowledge
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to perform the following responsibilities: • Advance NUS Libraries’ Special Collections by improving discovery, access and use of rare and archival materials to support teaching, learning and research
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and intelligent networked systems, including theoretical and system-level research Demonstrated capability in advanced communication technologies, antenna systems, and machine learning–enabled methods
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). Operational knowledge of various mechanical testers & conventional machining is a plus point. We regret that only shortlisted candidates will be notified. Hiring Institution: NTU