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following research areas: multi-modal input, continual learning, and adaptive methods for task planning and execution in real-world environments with autonomous agents. You will be a vital part of the Visual
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, electronics, and neuromorphic computing. You will join an international collaboration between DTU, EPFL, and Max Planck, gaining unique opportunities to work at the intersection of materials science, physics
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use, while exploring more circular options for design for recycling? At the Technical University of Denmark (DTU), we are offering a fully funded PhD position focused on understanding and mitigating
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mass spectrometry and machine learning now allow us to unravel this “dark proteome.” This position aims to use state-of-the-art AI-guided proteomics and systems biology approaches to map protease
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the atmosphere and returning CO2 to the atmosphere. Yet the efficiency over which rock-bound (petrographic carbon) is oxidized or recycled is highly uncertain. This PhD will use RAMAN spectroscopy as a tool to
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Job Description Are you passionate about understanding the composition of the footwear we use, while exploring more circular options for design for recycling? At the Technical University of Denmark
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and health impacts of footwear materials. This research sits at the cutting edge of microplastic pollution, chemical safety, and sustainable materials design. This PhD opportunity is part of the Marie
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for a 3-year PhD position in Healthcare Operations with a focus on Hospital-at-home. The project is starting in January 2026 or as soon as possible thereafter. The position is part of a joint research
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the other 14 PhD students in the doctoral network, including 3 training schools. As a participant of the project, the PhD student will become part of a team at DTU with expertise in nonlinear optics in
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, pathology, pharmacology, immunology, microbiology, nutrition and diseases in both animals and human infants. The work extends from basic in vitro studies in cells and tissues (gut cell lines, primary blood