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focuses on the impact of air quality on human health, nature, the aquatic environment, and interaction with the climate. The aim is to provide state-of-the-art capacity in Denmark for research, development
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at the intersection of machine learning and operations research to design and operate the water networks of future sustainable societies. Water networks are characterized by their complex topologies and highly non
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merit and even better is knowledge of adaptive control, machine learning and AI. But the most important qualification is an eagerness to learn the mysteries of fuel-combustion-engine interaction. You must
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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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well organized, structured, self-driven, and enjoy interacting and collaborating with colleagues, including PhD students and postdocs. You are also expected to take part in the supervision of BSc and MSc
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vulnerable citizens. You will be part of a dynamic, interdisciplinary research setting at one of Europe’s leading technical universities. DTU is committed to innovation, societal impact, and diversity
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Job Description Are you passionate about designing ultra-low-power electronics for neural and wearable systems? Do you want to develop custom CMOS circuits that serve as the foundation
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Job Description Are you passionate about neuromorphic computing and hardware design? Do you want to contribute to the next generation of brain-inspired computing systems for healthcare applications
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create metadata protocols to ensure consistent, reliable input for AI models. Design machine learning workflows to interpret large datasets, efficiently select algorithms, train and validate models, and
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Job Description The Department of Technology and Innovation at the University of Southern Denmark (SDU) invites applications for one PhD position within the field of Agentic AI for Supply Chain