639 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Nanyang Technological University in Singapore
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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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. Operating at the intersection of industry engagement, curriculum design, and student development, the Assistant Director shapes NTU’s career education strategy and ensures that career learning is outcome
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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 suitable
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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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student Graduate Assistantship Programme (GAP) hours and seminar attendance. This role is integral to ensuring efficient academic administration and enriching students’ learning experiences throughout
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research team as a Research Engineer. The successful candidate will support ongoing research initiatives by applying advanced machine learning, NLP, and large language models (LLMs) to develop next
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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
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quantum information theorists to integrate secure key rate calculations with simulations. Investigate and apply AI and machine learning techniques to improve and support secure-by-design development
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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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and analyze large-scale multi-omics datasets (genomics, transcriptomics, epigenomics) to derive biological insights Apply statistical and machine learning models to identify cancer risk biomarkers