25 collaborative-learning Postdoctoral positions at Technical University of Denmark in Denmark
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using different materials, producing a comprehensive dataset of structures and their optical properties. This dataset will serve as input for AI-based design tools developed by collaborators within
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and exciting environment with plenty of opportunities for collaborations. In your role as a postdoc, you will focus on the formal verification techniques for process models, and the application
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support society's need to regulate fishing. The section is internationally recognized and has a strong collaborative network within the development of fisheries technology. We offer a rewarding and
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using probabilistic methods. You will collaborate with domain experts across transport modeling, machine-learning, and policy design to ensure scientific and practical relevance. You will contribute
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analysis Close collaboration with an interdisciplinary team. Research and teaching efforts at a section and departmental level as appropriate and relevant (e.g., teach and supervise MSc and PhD student
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transparent documentation practices—laying the foundation for reproducible and collaborative research in biofertilizer innovation. The IBIS development pipeline is designed to enable high-throughput
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to collaborate closely with our Danish industrial partners on innovative use cases, including advanced condition-based monitoring in industrial settings and speech enhancement in audio headsets. The appointed
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Job Description Are you passionate about leveraging IoT, machine learning, and optimization to make energy districts and communities more sustainable? We are looking for a highly motivated and
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. Communication Skills: Excellent written and oral communication abilities in English, with a strong commitment to collaborative research and scientific dissemination. As a formal qualification, you must hold a PhD
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journals and conferences. Collaborating with academic and industrial partners, both nationally and internationally. Engaging in the mentorship and supervision of BSc and MSc student projects, co-supervising