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Field
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prediction to systems that reason, plan, interact and act in the physical world. This PhD addresses efficient long-horizon task execution in Physical AI—complex tasks needing sequences of decisions, subgoals
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strategic process. It focuses on the alignment between enterprise-level decision-making and project-level implementation, including tensions between standardisation and flexibility, enterprise integration and
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transferred to a third country or international organisation. Your personal data shall not be subject to automated decision-making, including profiling, in the course of the recruitment process. You may also
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to create knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position aiD – AI for Decisions – is one of Norway's new national AI
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, and academia. At the AI-Native Software Engineering Directorate, we focus on how today's engineering teams can quickly exploit emerging technologies and harness AI capabilities to create and evolve
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, and academia. At the AI-Native Software Engineering Directorate, we focus on how today's engineering teams can quickly exploit emerging technologies and harness AI capabilities to create and evolve
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of the Administrative Procedure Code, after being notified, the applicants have 10 working days to comment. Within 90 days, counting from the deadline for submitting applications, the Board's final decisions are made
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learning to improve disease diagnosis, risk prediction, and clinical decision support. Applications will include chronic diseases such as cancer, diabetes, and rheumatoid arthritis. This research forms part
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spread, but also in-depth insight into how human behaviour, economic incentives, and policy instruments shape decision-making by key chain actors involved. Positioned at the intersection of behavioural
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in practice. Moreover, these tools are increasingly used in real-life applications, including high-value and life-affecting decisions. Therefore, it is of utmost importance that they be completely