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experiential learning programs. We invite applications from scholars whose expertise encompasses one or more of the following areas: Human-AI (or AI agent) interaction, human-machine communication, algorithmic
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to the project. Job Requirements: PhD degree in Computer Science, Electrical and Electronic Engineering, or related field. Min 3 years of relevant experience in computer vision, artificial intelligence, etc
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archiving and preservation, network analysis and social media analytics, and human-computer interaction in humanities contexts. The National University of Singapore (NUS) is a leading research-intensive
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interventions can support mathematics learning and well-being. Requirements: A Masters or equivalent degree in education, psychology, neuroscience, learning environments or a related field. (Candidates with a PhD
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concepts into impactful solutions and guide their implementation. Requirements: PhD in Computer Science, Computer Engineering, Electrical & Electronic Engineering, or related disciplines; A strong research
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, train, and validate advanced computational models and machine learning algorithms tailored to complex datasets. Collaborate with multidisciplinary teams including biologists, engineers, and clinicians
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edge computing architectures; Publish results in top-tier conferences and journals, and collaborate with industrial and academic partners. Requirements: PhD in Computer Science, Computer Engineering
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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the future of automobile manufacturing. The Hyundai-NTU-A*STAR Corporate Lab invites applications for the position of Research Fellow. Key Responsibilities: Research & Development of advanced innovative
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems