106 machine-learning-"https:"-"https:"-"https:"-"https:"-"UCL" Fellowship positions in Singapore
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agricultural impacts, and guiding policies to enhance regional resilience to climate-driven natural hazards. Subsequent efforts focus on employing a physics-informed machine-learning model, tailored
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on energy-efficient circuit design and software-hardware co-optimization, with exciting applications in graph-based prediction. What we’re looking for: A PhD in Electrical and Computer Engineering or a
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Responsibilities: Integrate and analyze large-scale multi-omics datasets (genomics, transcriptomics, epigenomics) to derive biological insights Apply statistical and machine learning models to identify cancer risk
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participate in seminars, workshops, and public engagement activities Job Requirements: Doctor of Philosophy in Communication, Psychology, Sociology, Human-Computer Interaction, or a related social science
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effects and their coupled interactions. In effect, this a complex problem that needs the application for AI / machine learning to enable guided, efficient and effective optimization of the CHIPLET
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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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- Train/Teach juniors in the team as well as attachment students on the principles of research and research techniques - Write and/or assist in writing grants for the continued funding support of research
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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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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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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