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, engineering, finance, and health. Key Responsibilities: To perform the pioneer research in AI for climate transformation. To further develop data-driven and machine learning tasks for fighting climate changes
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, Machine Learning, Artificial Intelligence and Kinematics and dynamics. Autonomous systems, Robotics and Automation. Industry 4.0 and Internet-of-Things. Advantageous to have prior knowledge in: Hands
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(CBmE) was established in September 2006 in the Yong Loo Lin School of Medicine through a generous gift by the Chen Su Lan Trust. CBmE, directed by Prof Julian Savulescu, is a thriving centre for learning
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Associate Professor Duane Loh on conducting research at the interface of Machine Learning and Microscopy under a project on Learning Spatiotemporal Motifs In Complex Materials. The main responsibilities
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instructional videos catering to three fundamental topics in AI literacy - Personalization using Machine Learning and Neural Networks , Ethical Issues in AIED , Human-AI Collaboration. These simulations would
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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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such as AWS, Azure, and GCP, or private/on-premises cloud platforms such as OpenStack, VMWare vSphere. Big Data & AI: Familiarity with Machine Learning, Data Engineering, and technologies such as TensorFlow
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Requirements: A PhD degree in mathematics or related areas, with a strong background in topological data analysis (TDA) and machine learning on biomolecular data Proficiency in programming languages such as
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management, machine learning, deep learning, and optimization; Proficient in written and spoken English - essential for data analysis and communication with stakeholders Experience in proposal writing and
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Research Process, clean, and analyze large-scale clinical datasets (e.g., EHRs, sensor data) using advanced tools (e.g., Python/R, SQL, Hadoop/Spark). Develop predictive models (e.g., machine learning, NLP