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- NTNU Norwegian University of Science and Technology
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contribute to: Developing supervised deep learning algorithms for 3D point clouds Developing self-supervised deep learning algorithms for 3Dpoint clouds Expand for a wider variety of downstream tasks focused
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@nhh.no AI and the Professional Services – Rethinking Structure, Strategy, and Work in the Age of Algorithmic Expertise Within DIGs AI agenda we have a particular interest in proposals linked to AI and
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is not a standalone concept and has close connections to diversity, transparency and bias. In this position, the PhD candidate will work on algorithmic fairness in job recommender systems
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Maritime Organization (IMO). The Advanced Maritime Ship Operations research group is dedicated to developing and showcasing digital twin models for selected vessels through extensive ship performance and
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launch in the fall of 2025. These centers will foster interdisciplinary collaboration among researchers to address societal challenges, understand the impact of AI, develop new technologies, and drive
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based in the Cryptology discipline of the Department of Information Security and Communication Technology. The candidate will be analyzing and developing algorithms for privacy preserving health registry
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performance. The developed methods and algorithms will be validated on both scaled in-house test setups and Å Energi’s pilot HEPs, in collaboration with Volue Industrial IoT AS. Active collaboration with other
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data to assess fault impacts on efficiency and to forecast system performance. The developed methods and algorithms will be validated on both scaled in-house test setups and Å Energi’s pilot HEPs, in
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and interested to work within a results-oriented, interdisciplinary team, with a strong motivation to develop new methods to understand neural algorithms in the mammalian brain. Emphasis will be placed
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classical methods, thereby enabling more efficient solutions. Over the past 25 years, rapid advances—especially the demonstration of quantum algorithms that challenge the extended Church-Turing thesis—have