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Field
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to address questions about the nature of biological, artificial, and collective intelligence through collaboration across a wide range of fields. We seek enthusiastic scientists and scholars who will embrace
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progress in machine learning and artificial intelligence, the successful candidate will have primary responsibility to develop, implement, and test multimodal machine learning algorithms to analyze and
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The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a central hub for Duke-NUS faculty specialising in Biostatistics, Bioinformatics, Systems Biology, Artificial Intelligence (AI), and
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artificial exosomes for nose-to-brain delivery/Centre of Molecular and Environmental Biology, (2024.17197.PEX), financed by national funds through Fundação para a Ciência e a Tecnologia, under the following
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Institute for Research in Mathematical Sciences and the Principles of Intelligence (PrincInt: https://princint.ai/ ), housed within the Fields Institute's Centre for Mathematical AI. The fellowships support
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framework, relevant projects may examine how developments in contemporary working life — such as digitalization and artificial intelligence, flexible and remote work arrangements, changing job structures
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. The successful candidate will work at the intersection of life-course epidemiology, causal inference, and artificial intelligence to advance our understanding of the biological pathways linking social
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ecosystems where interconnected multi-agents interact strategically in dynamic and uncertain environments. While Artificial Intelligence (AI) optimizes predictions or policies, energy systems are inherently
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of the land on which we live, work and create. Project Details: Abundant Intelligences – Indigenous Approaches to Artificial Intelligence, an international Indigenous -led research program seeks a Postdoctoral
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established Norwegian Maritime AI Centre , a national initiative for research, innovation, and education in artificial intelligence for the maritime sector. Here you will work together with other PhD candidates