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for brain signal acquisition Implementing an on-chip neuromorphic processor with a spike encoder and spiking neural network Developing a low-power spike-based transmitter. Setting up measurement systems and
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, including a large international collaboration, offering excellent opportunities for networking with researchers and fellow PhD students, particularly in Sweden, Norway, and Portugal. Responsibilities and
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directions will be pursued to enhance column generation using machine learning. The first line of research focuses on improving scalability by using Graph Neural Networks to identify and eliminate non
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to an international network of researchers. As part of the PhD, you will address the critical challenge of incorporating considerations beyond efficiency (e.g., fairness and equity) in urban transportation planning. A
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), 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 and virtual
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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-going research vessel
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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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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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PostDoc in the project). Collaborating with fellow researchers across the UPLIFT network, including those focused on digital twins at DTU Chemical Engineering- As a PhD candidate, your work will adapt
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and ambitious young research group, supported by the POLIMA Center and its extensive network of international collaborators. POLIMA is a Center of Excellence funded by the Danish National Research