20 interaction-design Postdoctoral positions at Technical University of Denmark in Denmark
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artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic
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Construction”, “Extended Realities for Workforce Training”, “Lifecycle Assessment”, “Human Robot Interaction”, “Additive Manufacturing/3D printing”, and/or “Automation and Robotics in Construction Production
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artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic
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, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks
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functionalization and a detailed knowledge about interactions between nanoparticles and living organisms? Are you looking for an ideal springboard for a future career as a scientist in either academia or in industry
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are in the pipeline, where the focus is on modelling of disease transmission. In addition, you will participate in supplying epidemiological advice for competent authorities on design of surveillance and
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research environment; and, who has a positive, supportive and creative outlook. We expect you to have good communication and personal interaction skills and to be fluent in English. We offer DTU is a leading
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Electro in the Quantum and Nanophotonics Section , which focuses on leveraging fundamental light-matter interactions for applications in sensing, optical communications, and quantum technologies
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computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics
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capability to model complicated magnetic systems for two reasons. First, all magnetic sources in a simulation interact, leading to computational resources scaling with the number of sources squared – which is