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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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Continental Automotive Singapore on emerging privacy-preserving techniques such as homomorphic encryption, secure multi-party computation and federate learning. Key Responsibilities: Work closely with Centre’s
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alignment to create system-level composite images. Build and train advanced machine learning models to autonomously detect various PV defects such as hotspots, microcracks. Execute the necessary data
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candidates will be involved in a project that is related to 3D Content Generation. The key responsibilities include the following: To independently undertake research in computer graphics and machine learning
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: Master degree in Computer Science/Engineering or equivalence More than 5 papers published at top AI/Machine learning conferences Experience of deep learning and machine learning Good communication and
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: • Postgraduate qualification in Spanish as a foreign/second language, Spanish Linguistics or in Spanish studies. • Native proficiency in written and spoken Spanish to teach Asian adult students • Experienced and
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, electrical & electronic engineering, or equivalent. Background knowledge in signal representation/processing, visual data compression, and data-driven and machine learning/analysis. Prior research experience
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Materials Generative Design and Validation Framework. The role will work at the intersection of machine learning, high-throughput experimentation, and materials discovery, focusing on accelerating the design
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to develop and optimize scalable experimental protocols across diverse material families. This role is part of a multidisciplinary team integrating materials chemistry, machine learning, and autonomous
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Intelligence and Data Analytics in Air Traffic Management Systems. The selected candidate will work on developing innovative machine learning models to address key challenges in the future airspace system