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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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Municipalities, which is funded by the Velux Foundation. Read Velux’s presentation of the project at: https://veluxfonden.dk/en/projekt/migrant-solidarity-network-local-dynamics-civil-society-and-municipalities
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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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Associate Professor Arijit Khan, Department of Computer Science. His research works can be found at , https://scholar.google.com/citations?user=6Y-m8k4AAAAJ&hl=en , and at https://dblp.org/pid/67/2933.html
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. In terms of research The position includes research within the project Best for Us (in Danish, Bedst for Os) https://bedstforos.dk/ . Best for Us is a large research project aimed at investigating
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(https://www.classique.aau.dk). CLASSIQUE will address a suite of fresh research challenges defined by the intersection of digital applications that have real-time requirements and quantum resources
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with Danish and international industrial partners. More information about the AI RF Sensors group is available at: https://www.es.aau.dk/research/ai-rf-sensors Qualification requirements Appointment as
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work on development of wave energy and offshore wind. Most of our research is focused around work in our wave flume and basin. Further description of the group may be found here: https://vbn.aau.dk/en
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potable water, wastewater systems, and district heating/cooling systems. Link to the group web page: https://www.learning-decision.dk How to apply Your application must include the following: Application
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members. Join us in making a positive impact on society! More information about the Department's research profile can be found here: https://www.communication.aau.dk. Qualification requirements Appointment