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PhD opportunity is part of the Marie Skłodowska-Curie Doctoral Network SCARPA , a European training network committed to circularity and sustainability in the footwear industry. Through advanced
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that increase and decrease the attractiveness of moving around the urban environment with the purpose of evaluating how urban design should be improved, and which amenities are important for ensuring sustainable
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the Research Group for Genomic Epidemiology. By joining us, you'll gain expertise in AI, bacterial sequence analysis and food safety evaluation while contributing to one of the most challenges in food safety
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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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and predict cyber threats. You will work closely with international collaborators, including Eindhoven University of Technology (TU/e), and with industrial partners, providing realistic case studies
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and analysis Participation in PhD courses and workshops Interdisciplinary research collaboration within the field of sustainable energy Dissemination of research findings through peer-reviewed
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Job Description Do you want to do research on cutting-edge machine learning methods? If you are establishing a career as a researcher in machine learning, and you are motivated to work with the
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position to work at the intersection of transportation science, operations research, and transport economics. The PhD position is part of a strategic collaboration between the Technical University of Denmark