22 evolution "https:" "CMU Portugal Program FCT" Postdoctoral positions at Aalborg University
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and Distributed Systems: https://www.cs.aau.dk/research/distributed-embedded-intelligent-systems/ The Department of Computer Science features a broad range of synergistic activities within research and
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for a two-year postdoc, ideally starting August 1st, 2026. The position will encompass the ethnographic study of wind energy infrastructure development in Norway. The postdoc is part of the Sapere Aude
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the project team, opportunities for international engagement, and encouragement to pursue their own scholarly development. Your work tasks If you become a part of the project team, you will be involved
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of the position is two years. Your work tasks The main task of this postdoc position will dedicate on research and development of advanced process control augmented by some AI techniques, e.g., using reinforcement
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of life and satisfaction of its residents. https://www.enjoynordjylland.com/ Your work tasks The position is offered in relation to the EU-funded research program "STRONG UR, Strategies for optimized
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or soon thereafter. Your work tasks The position focuses on experimental development of cement-based functional materials within a newly established interdisciplinary platform integrating cement chemistry
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Andres Masegosa (arma@cs.aau.dk), Department of Computer Science. (please see: https://andresmasegosa.github.io/ . The project’s domain PI is Professor Jamal Jokar Arsanjani (jja@plan.aau.dk), Department
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. Read more about CEBE (https://villumfonden.dk/en/nyhed/billion-kroner-research-grant-accelerate-green-transition-built-environment). The transition from CO2 producing building materials to renewable, CO2
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Postdoc – Performance requirements for biobased construction materials used in the building envelope
materials, including their hygrothermal properties, durability, and performance limits in building applications. Competence in laboratory testing and development of test methods is essential, as is experience
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and communication systems. You will work with real measurement data and participate in both algorithm development and experimental validation. You will collaborate with industrial and academic partners