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theoretical foundations of distributed quantum computing . Our long-term objective is to understand which distributed tasks admit a quantum advantage, especially in the context of the LOCAL model of distributed
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field. The successful candidate must possess expertise in distributed AI/ML systems and computer networks. Good knowledge and practical skills in distributed AI/ML, networked systems, data management, and
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and global timber security. Specific questions this project aims to address: How is the forecasted distribution of (suitability for) commercially valuable timber species likely to change throughout
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, or be nearing completion of, a PhD in Computer Science or a cognate field. The successful candidate must possess expertise in distributed AI/ML systems and computer networks. Good knowledge and practical
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Professor of Machine Learning and Computer Science, MBZUAI. Dr. Ho specializes in distributed machine learning and systems architecture. His expertise drives the design of robust, parallelized systems
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the Computing & Engineering Department. The group is very dynamic, ambitious, well networked and delivers state-of-the-art research in a range of machine learning and data science topics, publishing research
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Postdoctoral Research Asssociate: : Distributed Fibre Optic Sensing & Digital Twin Infrastructure (SmartChar) We are seeking a highly motivated Postdoctoral Researcher to join the flagship SmartChar
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and is distributed on this tree, and it is the foundation that enables us to use model organisms to study health and disease. Accordingly, almost all of contemporary biological science research is
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Postdoctoral Research Associate in the Department of Computer Science with a particular emphasis on the design and performance analysis of resource allocation algorithms for entanglement distribution in quantum