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, and teamwork. You will have a great opportunity to build strong networks with internationally known researchers at DTU and other universities as well as leading industrial partners. As a PhD candidate
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to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk). CLASSIQUE will address a suite of
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centers on developing a framework for controlling a robotic arm equipped with a cardiac ultrasound probe and complementary sensors. The goal is to enable autonomous placement of the probe on predefined
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offered within the Marie Skłodowska-Curie QuNEST – Quantum Enhanced Optical Communication Network Security doctoral training program (https://qunest.eu ) and the Villum Investigator Program: Power-Efficient
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of greenhouse gases including CO2 and CH4. The PhD project is part of the Horizon Europe Marie Sklodowska-Curie Action (MSCA) doctoral network (DN) ELEGANCE (machinE LEarning for inteGrated multi-parAmetric
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infrastructure Excellent training in all aspects of this project. The opportunity to work and interact with an extensive network of international collaborators A competitive salary and social benefits (e.g. health
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well as in the breakdown of greenhouse gases including CO2 and CH4 . The PhD project is part of the Horizon Europe Marie Skłodowska-Curie Action (MSCA) doctoral network (DN) ELEGANCE (machinE LEarning
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enjoys a robust network of academic and industrial partners. This position provides an opportunity to engage with these collaborations and work on real-world challenges. We encourage and support our staff
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network of international collaborators - A competitive salary and social benefits (e.g. health coverage, parental leave, social security etc.) Contact For more information feel free to contact Assistant
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materials/ Latent thermal energy storage is an advantage. Hands-on experience with experimental setups and measurement techniques/ sensors. Experience with system modelling and simulation (e.g., TRNSYS