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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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close to 50-50% gender balance. Our working language is English. We are highly interdisciplinary and include experts within biomedical engineering, neuropsychology, pharmacology, biophysics, medicine with
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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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, 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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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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; 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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for 16s rRNA and WGS sequence data from pathogens. Advanced computer programming skills in R and Python and preferably also other languages and demonstrated proficiency in UNIX, shell scripting (Bash
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well as being able to work independently Be creative and interested in exploring new technology and in adopting new ways of working and solving problems Ability to take personal responsibility for getting things
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pipelines for 16s rRNA and WGS sequence data from pathogens. Advanced computer programming skills in R and Python and preferably also other languages and demonstrated proficiency in UNIX, shell scripting
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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