833 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"Cardiff-University" positions in Singapore
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imaging sciences. The candidate will be expected to secure extramural funding and teach both at the undergraduate and graduate levels. Main duties and responsibilities Establish an independent, externally
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initiatives across the College of Science (CoS). The role ensures smooth implementation of undergraduate programs, strengthens student learning experiences, promotes NTU Science to top local and international
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student practice sessions to ensure proper use of task trainers and adherence to safe learning practices. Learning Resource Maintenance: Assist in the organization and periodic update of instructional
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1. Degree in Computer Engineering, IT, HR or related field. 2. Min 10 years of relevant HR-IT experience, with at least 3 years of hands-on expertise in SAP SuccessFactors (Recruiting
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various research activities. Equipped with effective organizational and interpersonal communications with excellent written, oral communication and computer skills. A team player who is able to prioritize
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team as a Service Quality & Customer Analytics Specialist. In this role, you will play a key part in monitoring learning quality, managing customer feedback, and driving continuous improvement through
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Corporate Laboratory is seeking to hire a Research Fellow. The selected candidate will innovate research in advanced materials. Key Responsibilities: Work on AI-driven techniques such as machine learning and
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engagement with CRCD research. Plan and coordinate research dissemination events (e.g., pre-conference sessions, symposia, and learning exchanges), including preparation of presentation materials, to share
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mission is to shape future leaders and contribute to society's advancement through cutting-edge research and transformative learning experiences. Why Join NTU: As a member of the NTU family, you will have
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, such as, geometric/topological/algebraic data analysis, geometric/topological deep learning, Math for AI, categorical deep learning, sheaf neural networks, PINN/KAN models, neural operators, etc, and