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Institute of Data Science. General Requirements Candidates should have (i) a PhD degree in Data Science, Artificial Intelligence, Computer Science, Computer Engineering, or a relevant discipline; (ii) a good
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applications would be particularly beneficial, although not essential. In addition, experience in artificial intelligence, cloud computing, sensor networks and/or data visualisation would also be highly
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or mediated by digital tools, which partake into complex collaboration ecologies. The rise of intelligent technologies, such as generative AI tools, has placed the spotlight on new forms of collaboration
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, policy, energy conversion, new business models, techno-economic and life cycle analyses, machine learning, optimization, AI, intelligent networks, among others. The PDF will join a project in collaboration
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At Carnegie Mellon University-Africa, faculty members, researchers, and students are advancing Africa’s digital transformation by conducting research in the domains of artificial intelligence and
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Engineering, Industrial Engineering, Machine Learning, Artificial Intelligence, or related fields Expertise in numerical simulation of multi-physics systems, especially fluidic problems Expertise in generative
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Applications are invited for prestigious Eric and Wendy Schmidt AI in Science Fellowships, a program of Schmidt Sciences, commencing 1 September 2026. There are up to 8 positions available, with a
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Applications are invited for prestigious Eric and Wendy Schmidt AI in Science Fellowships, a program of Schmidt Sciences, commencing 1 September 2026. There are up to 8 positions available, with a
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Applications are invited for prestigious Chapman Schmidt AI in Science Fellowships, a program of Schmidt Sciences, commencing 1 September 2026. There are 2 positions available, with a duration of 2
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Applications are invited for prestigious Chapman Schmidt AI in Science Fellowships, a program of Schmidt Sciences, commencing 1 September 2026. There are 2 positions available, with a duration of 2