35 high-performance-quantum-computing-"Multiple" Postdoctoral positions at Aarhus University in Denmark
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an advantage if applicants can document a track record of research publications of a high international standard commensurate with the length of the applicant’s academic career experience of participation in
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of statistical analyses and modelling. Experience in handling and analyzing large datasets. Experience in employing high performance and cloud computing services. Knowledge in GIS. Knowledge on obtaining
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and pilot-scale testing of renewable energy technologies. Co-operation with other institutes, companies and universities both in Denmark and internationally is an integrated part of our culture. What we
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are enrolled in our study programs. Furthermore, we also offer an ambitious PhD program. Our PhD students have high academic ambitions and deliver high-quality results for both the private and the public sectors
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. Join us at the Department of Electrical and Computer Engineering, Aarhus University, where we are developing semantic-aware communication that leverage edge AI, semantic reasoning, and efficient time
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. The ability to read German, French and Italian. Please submit up to two publications for assessment. Note that only publications that are actually submitted with the application will be assessed; a list
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techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical
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of the probability and analysis groups. Projects may include, but are not limited to: Analysis on metric spaces including fractals Heat kernel estimates and functional inequalities Rough paths, stochastic differential
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an ambitious PhD program. Our PhD students have high academic ambitions and deliver high-quality results for both the private and the public sectors. Through research and development, we forge sustainable
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if the candidate is expected to have a keen interest in digital history, other team members will do the advanced computational analyses in collaboration with the rest of the team’s domain experts