157 embedded-system "https:" "https:" "https:" "https:" "St" "St" positions at Aarhus University
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About University Fuyao University of Science and Technology (FYUST ) is a new private research university located in Fuzhou, China. It was established with the generous donation of a globally
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The Department of Agroecology at Aarhus University, Denmark, is offering a postdoctoral position in the Soil Fertility Section, starting 01-08-2026 or as soon as possible thereafter. The position
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possible thereafter. The position is a fixed-term full-time position for the duration of 2 years, based on a grant from the Danish Diabetes Academy. As a staff member at the Department of Public Health, you
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Application procedure Shortlisting is used. This means that after the deadline for applications – and with the assistance from the assessment committee chairman, and the appointment committee
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About us: The last few years have crystallised the growing sense that organisational success must take account of the diverse range of stakeholders involved in business and the economy. King’s
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per 1 May 2026 or as soon as possible thereafter. The position is a fixed-term full-time position for 1 year and 8 months. Department of Clinical Medicine As a post doc at the Department of Clinical
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-projects. The support will take place through a hacky hour study café in the library, two hours a week (22 hours in total). The Hacky Hour Study Café is meant to support the use of tools introduced in DAM in
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thereafter. The position is a fixed-term full-time position for 24 months/ 2 years. The department of Biomedicine prioritises diversity and a good work environment, as this is a prerequisite for groundbreaking
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of food proteins in relevant food matrices. The position starting date is 1 May 2026 or immediately thereafter. Your profile To respond to some of the most critical societal changes of the next decade, we
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum