78 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions in Norway
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-time professor position. PhD candidates will have their place of work at BI Norwegian Business School in Oslo, Norway. Additional information about the doctoral program, admission requirements, and the
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. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load
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project activities (organising events, producing website content, data management and storage, etc.), including international travel for project meetings and events (5%) Qualifications In this role, you
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cities with headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application
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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
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cities with headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application
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department hosts research centers in Healthcare, Construction, and Ocean Industries, which sponsor and provide data supporting faculty research, workshops and seminars. The doctoral program is an important
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of work is BI Norwegian Business School in Oslo. Additional information about the doctoral programme, admission requirements and the application can be obtained from the Doctoral Administration at BI
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detailed data about forest ecosystems. To convert the captured data into meaningful information about the forest environment we seek a PhD candidate who wishes to advance state-of-the-art computer vision