65 machine-learning-"https:"-"https:"-"https:"-"https:"-"UCL" Fellowship positions at Nanyang Technological University
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studies, serious games, gamification, interactive media, AI in games, player behaviour, or games for learning and health). • Produce high-quality research outputs, including peer-reviewed journal articles
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technical reports Strong written and communication skills in English Strong collaborative skills and a team player Ability to work independently with minimum supervision Preferred Personal motivation to learn
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Centre for Lifelong Learning and Individualised Cognition CLIC is a research collaboration between the University of Cambridge and Nanyang Technological University (NTU) and hosted by the Cambridge
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, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community
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. You will join a highly inter-disciplinary team comprising other computer and data scientists, computational biologists, educationists and technologists. There are ample opportunities for various cross
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. Equipped with effective organizational and interpersonal communications with excellent written, oral communication and computer skills. A team player who is able to prioritize, multi-task and work
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on a regular basis to the management, to continue to learn Leadership Competency: Ability to build rapport and influence stakeholders at all levels Ability to work collaboratively in a fast-paced
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discussions. As such, understanding the contribution of book clubs to adult literacy, and how these informal learning communities can extend and prevent the atrophy of our literacy skills, is crucial. Using
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-Laplacian, discrete Ricci curvature) to characterize and model biopolymers such as DNA and RNA. Develop simplicial models for molecular representation, featurization, and learning, particularly in the context
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Responsibilities: Conduct research in Systems Biology to study cell signaling Perform large-scale signaling analysis or protein-interactome analysis Utilize machine learning-based biological data mining and analysis