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, Professor Jan V. Nørgaard, phone: +45 5071 8795, email: [email protected] Living in Denmark Please visit the international staff website: https://internationalstaff.au.dk/prearrival/ for information
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within this field. Your work tasks In this position you will conduct research within Computer Vision and Deep Learning, with a particular focus on the development of an AI-powered framework
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Researcher level should hold a PhD in AI enabled learning, educational technology, information systems, computer supported learning, social entrepreneurship, innovation management, or a closely related field
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phase change materials used in photonic devices, using synchrotron X rays and X ray free electron lasers (XFEL). Optical phase change materials can be reversibly switched between amorphous and crystalline
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; https://anivet.au.dk/en Contact information For further information please contact: Head of Research unit, Professor Jan V. Nørgaard phone: +45 5071 8795, email: [email protected] Place of work
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group has around 20 members including biochemists, quantum physicists, computer scientists and more. We offer a scientific working environment focused on practical connections between these fields with
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vesicle isolation and characterisation, such as ultracentrifugation/SEC, nanoparticle tracking analysis and electron microscopy. Small-RNA/miRNA profiling, including small RNA-seq and/or RT-qPCR. Sterile
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, cryo-electron microscopy (cryo-EM), cryo-EM-based polyclonal serology (cryo-EMPEM), molecular dynamics simulations, machine learning, and structural biology to define epitopes and engineer improved
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investigating how technology, space design, and pedagogy can together enable students to continue learning at work, in individual study, or in distributed settings following active, on-campus learning experiences
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to realize high-fidelity quantum gates as a foundation for quantum error detection and correction. The successful candidate will contribute to multiple stages of the technology development cycle, including