212 developer-"https:" "https:" "https:" "Dublin City University" PhD positions in Norway
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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
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- University of Agder
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- NORWEGIAN UNIVERSITY OF SCIENCE & TECHNOLOGY - NTNU
- Oslo National Academy of the Arts
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, product quality and development, and productivity. The Department of Mechanical and Industrial Engineering is one of eight departments in the Faculty of Engineering. Where to apply Website https
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critical gaps in cybersecurity by developing a novel framework for human-AI collaboration in Security Operations Centers (SOCs) protecting critical infrastructures. Rather than relying on AI systems alone
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. The objective of this PhD project is to develop AI methodologies for the analysis part of condition monitoring (CM) and predictive maintenance (PM). The primary challenge in predictive maintenance lies in
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Europe's leading universities, internationally recognized for high quality in research and education. As a societal institution, we shall contribute to sustainable and democratic development and be
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autonomy. Aiming to break new ground this PhD project focuses on developing novel foundation models for underwater robot perception and navigation. The aim is twofold: to advance foundation-model
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value chains. The objective of this PhD project is to develop AI enabled route planning and navigational intelligence for risk based and energy efficient maritime navigation. The work will use
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the requirements for admission to the faculty's doctoral program (see: https://www.ntnu.edu/ie/research/phd ). You must meet the requirements for admission to the IE Faculty. PLEASE NOTE: For detailed
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resources, price services, manage risk, optimize asset portfolios, and develop new revenue models. Yet the financial impacts of AI remain poorly understood, and companies face substantial uncertainty when
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research disciplines. For further information about the different research disciplines see https://www.ntnu.edu/imf/research . Are you motivated to take a step towards a doctorate and open exciting career
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interface of machine learning, statistics, probability, and with applications in statistical genetics, developing new theory, algorithms, and scalable implementations. Starting date as soon as possible and