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of causal reasoning tools, including causal inference, counterfactual analysis, causal discovery. Development of deep learning methods on computer vision. Job Requirements: Preferably PhD in Computer
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, computational imaging as well as computer vision applications Key Responsibilities: The roles of this position include: Research on the cutting-edge AI algorithms for processing and modeling high-dimensional data
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, computational imaging as well as computer vision applications Key Responsibilities: The roles of this position include: Research on the cutting-edge AI algorithms for processing and modeling high-dimensional data
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bioengineering, aquaculture systems, and computer vision. Job Requirements: PhD or Senior Scientist in Bioengineering, Computer Vision, Environmental Technology, Biomedical Engineering, Aquatic Biology, or a
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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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emerging roles in metabolic regulation and mitochondrial homeostasis. The project integrates experimental and computational strategies to uncover novel biological mechanisms and lay the groundwork for future
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Computing, Vision Enabled Sensing, Cyber-Physical Systems, and Secure Embedded Systems. The College of Computing & Data Science (CCDS) invites applications for the position of Research Fellow. Key
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(CIL) is inviting applications for the position of Principal Research Fellow for a term of three (3) years, with the possibility of renewal based on performance and organizational needs. Candidates
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Requirements: PhD degree in Artificial Intelligence, Computer Science, or a related field from a prestigious institution. Good written and oral communication skills. Proficiency in developing deep learning
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applications for the position of Principal Research Fellow for a term of three (3) years, with the possibility of renewal based on performance and organizational needs. Candidates should possess a PhD in fields