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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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PhD studies. The workplace is Campus Lillehammer . via Unsplash About the project Organizational use of artificial intelligence – applications, benefits, and risks Since the launch of ChatGPT in autumn
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: “Intelligent nanoparticulate formulation for the development of new antibiotics,” in which we seek to examine whether the use of artificial intelligence can be a tool for the rational design of nanoparticulate
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Torbein Kvil Gamst 1st September 2025 Languages English English English Faculty of Health Sciences Postdoctoral Research Fellow in law of artificial intelligence applications in health Apply
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of the positions is linked to the research project "Improving quality and safety in healthcare through supervision and use of artificial intelligence", the other to the research project "Prehospital teamwork and
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The AIP project investigates the economic effects of artificial intelligence (AI). Some expect that AI will lead to positive impacts in terms of innovation, productivity and economic growth. Others point
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problem solving, advanced techniques in algebraic and symplectic geometry as well as artificial intelligence. Qualification requirements We are looking for applicants with a strong academic background who
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of 75 % PhD Research Fellow and 25 % teaching duties. About the PhD-project “Transformative AI for Railway Systems” (TransAIRail) project combines Power Engineering and Artificial Intelligence (AI
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how people in Norway perceive artificial intelligence (AI), and analyses changes in trust and understandings, at a time when AI becomes integrated into everyday media experiences. The goal
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a condition of employment that the PhD has been awarded. Proven interest in issues related to media users, news, citizens, society and technology. Experience from relevant qualitative or digital