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PhD Research Fellowships: Artificial Intelligence Adoption, Sustainable Finance, and Twin Transition
20th June 2025 Languages English English English The Inland School of Business and Social Sciences invites candidates to apply for three PhD Research Fellowships: Artificial Intelligence Adoption
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THE UNIVERSITY OF LIVERPOOL FACULTY OF SCIENCE AND ENGINEERING (SCE) SCHOOL OF PHYSICAL SCIENCES DEPARTMENT OF CHEMISTRY RESEARCH FELLOW IN ARTIFICIAL INTELLIGENCE FOR MATERIALS DISCOVERY (AICHEMY
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mitigation strategies to resolve the challenges. About the person: The candidate for this role is expected to: Have or be about to obtain a PhD degree in Artificial Intelligence, or Software Engineering, or
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Investigator (PI) or team lead with project management tasks. Job Requirements: PhD degree in Optimization, Artificial Intelligence, Transportation or Aerospace. Evidence of developing Machine Learning and
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, artificial intelligence, and data science at the Nanyang Technological University (NTU), by supporting their postdoctoral fellowship abroad. During the period of the postdoctoral fellowship, the successful
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connectivity of the broader community, training, networking, as well as state-of-the-art research. This post will develop artificial intelligence methods for the prediction of crystal structure, the critical
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including climate and Earth science, ecology, materials science, artificial intelligence, humanities, social sciences and the arts, finance, health, and engineering. It will also translate state-of-the-art
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connectivity of the broader community, training, networking, as well as state-of-the-art research. This post will develop artificial intelligence methods for the prediction of crystal structure, the critical
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available at the University of Agder, Faculty of Social Sciences as a PhD Research Fellow in Digital Sociology/Sociology of Artificial Intelligence, affiliated with the Department of Sociology and Social Work
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for this position: PhD in Mechanical Engineering, Structural Engineering, Civil Engineering, Industrial Engineering, Machine Learning, Artificial Intelligence, or related fields Expertise in numerical simulation