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such improvement evaluated. The PhD Stipend is within the MSCA Doctoral Networks “Human footprint on water from remote cold areas to the tropical belt. INtegrated Approach TO secure water QUAlity by exploiting
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revolutionize communication systems for the quantum age. As quantum technologies rapidly advance, CLASSIQUE focuses on a critical challenge: how to evolve classical communication networks to support both
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learning approaches and develop a theoretical understanding potentially based on differential geometry. In particular, deep neural networks perform surprisingly well on unseen data, a phenomenon known as
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, encouraging creativity, diversity, and teamwork. You will have great opportunity to build strong networks with internationally renowned researchers at DTU and other universities as well as industrial partners
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into the cilia research field and networking. Access to an international collaborative environment that can be used for a mandatory up to 6 months research mobility. Access to state-of-the-art equipment
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loads — EV fleets, residential batteries, smart heat pumps, and data-center clusters — across distribution and transmission networks is critical to unlocking deep decarbonization and maintaining grid
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profile assessments with feedback, career-focused courses, and networking events with trade unions, employers, and other relevant parties. Learn more about these initiatives at our Career Hub
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, CLASSIQUE focuses on a critical challenge: how to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems. CLASSIQUE will address a
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are developed, modelled and controlled. You will create novel adaptative, physics-informed models that tightly integrate thermo-fluid dynamic laws, deep learning neural networks, and experimental data. A key
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the MADE (Manufacturing Academy of Denmark) research and innovation network, the PhD stipends will be closely linked to fellow researchers at other Danish universities through both academic and social events