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contribute to this collaboration. The employment When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each faculty is available
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transition towards green steel. As part of the Growing with Green Steel program, we are looking for a PhD candidate to join our team. This position has the specific focus on the utilization of Digital Product
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research stays at foreign educational institutions Teaching (Upon further agreement) Other career-promoting work, e.g., summer schools Be prepared for changes to your work duties after employment. Required
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diversification and change we see across languages today. Job description This 4-year PhD project will use group communication games and artificial language learning experiments to investigate the role of social
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of empowering citizens for the use of such technology. This work will be developed with the support of the interplay of Semantic Technologies (e.g., ontologies, knowledge graphs) and Artificial Intelligence
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contexts remain unclear. This project will combine human trials, advanced brain imaging, and cognitive assessments to identify evidence-based approaches that could, over time, transform clinical practice
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centre, Participate in the collaborative activities within the AI LEARN centre. Be prepared for changes to your work duties after employment. Required selection criteria You must have an academically
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to your work duties after employment. Required selection criteria You must have a relevant master’s degree in computer science or equivalent. Your course of study must correspond to a five-year Norwegian
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PhD candidate on Interprofessional Learning and Team Resilience through the Electronic Health Record
-proof healthcare? This PhD position offers the opportunity to explore how interprofessional teams can use insights from the Epic electronic health record to learn together, improve care, and strengthen
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technologies are increasingly used to support animal health and welfare, yet their success depends on how farmers, animals, and systems interact. This PhD will explore the use of the Epiherd digital platform