413 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at Nanyang Technological University
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computational analyses (e.g., regression, network analysis, machine learning). Academic writing skills and willingness to co-author publications. Strong problem-solving skills and ability to work independently
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on Thurlings et al.’s models of feedback processes, most feedback in computer systems is cognitivist in nature. The advancements in LLMs appear promising in bridging this dialogic gap in feedback and learning
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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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digital humanities, ludic studies, or social gaming platforms. A passion for education and the ability to foster a supportive, inclusive, and diverse learning environment, with strong interpersonal and
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tools (e.g. RPA, intelligent document processing, workflow automation) Experience designing dashboards and reports using modern BI tools (e.g. Power BI) Working knowledge of AI / machine learning concepts
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digital integrated circuits, utilizing deep learning techniques for better adaptability and productivity. The PACE team aims to advance side-channel and fault analysis techniques for hardware security
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applications for a Visiting Professor position in Computational Statistics, Statistical Signal Processing, Bayesian Inference, or Machine Learning. Candidates should hold a Ph.D. in statistics, mathematics
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applications for a Visiting Professor position in Computational Statistics, Statistical Signal Processing, Bayesian Inference, or Machine Learning. Candidates should hold a Ph.D. in statistics, mathematics
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FHE pipeline (based on industry available libraries) for machine learning / computer vision use-cases, and deploy privacy-preserving inference to clients environment. Adapt and evolve our products based
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, Nonlinear Systems, Robotics, Machine Learning, Cyber-Physical Systems, Cyber Security, Internet of Things, and Computer Vision would be an added advantage. Fresh PhD graduates would be considered but