21 creative-interactive-display Postdoctoral positions at Technical University of Denmark
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and public authorities. Our research aims at strengthening welfare, productivity and sustainability within society. A key element is the role of technology and its interaction with industry and
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, 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 world, as a basis for
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and creativity, be open and honest and to conduct research responsibly, be excited about large challenges and enjoy solving them, have an extraordinary drive towards achieving groundbreaking results
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the project. Your main tasks will be: Develop and apply electromagnetic modelling techniques in combination with inverse design to study light-matter interactions in dielectric nanostructured optical surfaces
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, including 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
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Analytics Research Team The Multi-omics Network Analytics research lab (MoNA - https://multiomics-analytics-group.github.io/ ) is an international, dynamic, and creative team dedicated to getting a holistic
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solutions and policy impacts. You will design and implement machine-learning algorithms that interact with your simulation framework for scenario discovery, building surrogate models of simulation outputs
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and industries. We offer a vibrant, collegial, and team-oriented research environment with an international atmosphere encouraging creativity and ambitious research. Responsibilities and qualifications
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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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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