66 cognitive-radio-networks PhD positions at Technical University of Denmark in Denmark
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and dissemination activities within DTU courses and networks We are looking for a candidate who has: A Master’s degree in bioinformatics, microbiology, food science, data science, or a related field
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. Fluency in English (oral and written). Excellent communication abilities, social skills, and independent attitude paired with the ability to network and interact with relevant stakeholders. We envision
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large national and international network and cooperate with research partners, public authorities, industry, and NGOs. We have state-of-the-art research facilities and Denmark’s only ocean- and arctic
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of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical
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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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. Opportunities to participate in conferences, symposia, and networking events to share and enhance your research. Your role will be pivotal in driving AI innovation and contributing to a transformative approach to
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the VILLUM FOUNDATION and Novo Nordisk Foundation's Living Labs initiative, we actively foster diversity and strive to improve gender balance. Currently, we are defining the #WomeninCAPeX network, aimed
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technologies for quantum photonic networks? We are now strengthening our research team on quantum light sources in silicon and are opening three PhD positions within fabrication, characterization, and theory
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Job Description DTU Electro seeks a highly motivated PhD candidate to join the Perception and Cognition for Autonomous Systems Group (PCAS) in an alliance/strategic partner research project funded
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SQL databases and file repositories. We are now taking the next strategic step: developing ontologies and a dynamic knowledge graph to semantically link our internal data systems - and connect them