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committed to excellence in research and teaching within a full residential programme that integrates living and learning. Its curriculum educates students in Asian and Western intellectual traditions as
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in the area of machine learning (ML)/deep learning (DL). The applicant must be well-versed in the necessary ML/DL tools and techniques with an application in remote sensing/earth observation. It is
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disciplines of machine learning and artificial intelligence to develop multimodal large language models with capabilities such as conversational information retrieval, multimodality sensemaking, question
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disciplines of machine learning and artificial intelligence to develop multimodal large language models with capabilities such as conversational information retrieval, multimodality sensemaking, question
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disciplines of machine learning and artificial intelligence to develop multimodal large language models with capabilities such as conversational information retrieval, multimodality sensemaking, question
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societies and committees. 5. Contribute to teaching when applicable. Qualifications An Engineering PhD in the areas of Bayesian optimization, complex systems simulation and operation, applied
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to the research program. Job Requirements: A PhD in Computer Science or relevant fields. Strong background in deep learning and multi-modal learning. Strong publication record in top conferences/journals, such as
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. Develop algorithms for continuous knowledge transfer and compositional reasoning to facilitate efficient learning of new tasks. Help supervise PhD, master and undergraduate students. Job Requirements: PhD
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Southeast Asia. Particularly, the Fellow will contribute to IES’s focus on understanding policy learning processes that enable for enhancing policymakers’ policy design capacity. The Fellow will lead research
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. Particularly, the Fellow will contribute to IES’s focus on understanding policy learning processes that enable for enhancing policymakers’ policy design capacity. The Fellow will lead research projects and