14 postdoc-distributed-algorithms PhD positions at NTNU Norwegian University of Science and Technology in Norway
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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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environmental change. The BEE section is a collaborative, vibrant, and growing research community including 12 Associate Professors and Professors, 23 PhD candidates, researchers, and postdocs, and 4 engineers
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postdoc, the candidate should establish models, frameworks, and technologies to create interactive, and adaptive learning experiences, and evaluate these. Duties of the position The candidate will be a
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of the collected data. This main goal of this particular PhD fellowship is to develop innovative applications, tools and models for AI game-based learning. Further, in collaboration with a postdoc, the candidate
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on advances in electricity grids and power markets to facilitate energy resource interaction and exchange. These platforms provide data for flexibility and demand response, connecting distributed resources
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Centre for Environment-friendly Energy Research, facilitating a secure, resilient, and sustainable electricity distribution grid that ensures both the security of electricity supply and a path to a net
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2026-2030. There will be approximately 25 doctoral scholarships and some postdoc positions. More information can be found here: https://www.ntnu.edu/mai Duties of the position Complete doctoral education
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algorithms for privacy preserving health registry data access. The goals of such access include supporting registry operations as well as health care research. Of particular interest in this context
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Centre for Environment-friendly Energy Research, facilitating a secure, resilient, and sustainable electricity distribution grid that ensures both the security of electricity supply and a path to a net
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detrimental interactions. To embed grid support functionalities aimed to ensure stability and improve power quality into control algorithms and energy management strategies of the target isolated power system