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education to working life. The PhD supervisor will be Senior Researcher Ingunn Ness. Please contact her for more information about the project. About the work tasks: investigate how multi-agent ecosystems
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who merge clinical endocrinology, AI, data science, engineering, ethics and law into an integrated field of digital endocrinology. The programme focuses on adrenal disorders as a case study for
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of mitochondrial motion across these species. It will be in close collaboration with an experimental colleague working to gather data on this collective motion across different species in the lab, and opportunities
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candidates will be called in to an interview. For further information about the appointment process, click here. Formal regulations: It is a requirement that the postdoctoral project is completed during
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of understanding history, cultural and natural heritage in the Anthropocene. The project description with more information regarding the different research themes of NAMUS is available on the web pages
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, you should address the "advantages" mentioned above, as these will be taken into account when ranking the candidates. the names and contact information for two referees. One of these should be the main
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address AI’s ethical, cultural, legal, and societal implications in creative domains. See mishmash.no for more information. The PhD position is linked to MishMash WP3: Creative Use of AI for Health and Well
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AI systems and educational strategies, and address AI’s ethical, cultural, legal, and societal implications in creative domains. See mishmash.no for more information. The PhD position is linked
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“Regulatory Case Studies” led by professor Malgorzata Cyndecka. The theme of the PhD project is challenges and opportunities raised by the nature, use and regulation of synthetic data in light of, in
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the nature, use and regulation of synthetic data in light of, in particular, the GDPR and AI Act while taking into account the purposes of AI LEARN. Work tasks and expectations Conduct independent and