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- NTNU Norwegian University of Science and Technology
- NTNU - Norwegian University of Science and Technology
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work demands and maintain critical thinking. The project combines empirical research with scale development and validation to better understand the conditions under which AI-supported collaboration
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develop quantitative methods to estimate effects on infrastructure degradation, maintenance needs, operational risk, punctuality and costs. The aim is to develop and validate a practical, transparent
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SINTEF Ocean; FME Martrans https://martrans.no/ and the Norwegian Maritime AI Centre https://www.ntnu.edu/mai The research is foreseen to focus on fluid-dynamic properties of the different sail types
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practical guidance for leaders, boards, and governance bodies on responsible AI use, effective oversight, and leadership development in the age of AI. Your work Study leader-employee-AI triads and the ways
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career adaptability, supervisory and organisational support, opportunities to use and develop skills, and job satisfaction and engagement help explain why some employees come through AI-driven change with
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Develop, implement and train INR models for MRI time-series data Analyze functional MRI data of the spinal cord Present research findings in written form through academic publications Present research
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project Can AI interpret graphs like a human materials scientist that relates diagrams to composition temperature, pressure, synthesis, processing and uncertainty? The PhD candidate will develop and
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position As agile development scales to larger, more complex organizations
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and research, in and outside academia. The Software Engineering group conducts research in a wide range of topics related to design, development, verification, and operation of complex software systems
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to an obtained doctoral degree. We have a vacancy for a PhD Candidate in Databases and Search group for developing efficient search engines at the Department of Computer Science. The position is funded by