45 information-security-"https:"-"https:"-"https:"-"IFM" Postdoctoral positions at Aarhus University in Denmark
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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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The Nissen Laboratory at the Department of Molecular Biology and Genetics, Aarhus University, is inviting applications for a fully-funded postdoc position for 2 years, with a possible extension, to
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or as soon as possible thereafter. Project The position is affiliated with the research project ‘Practice Resonant AI Ethics for the Public Sector’ (PRAI) funded by the Independent Research Fund Denmark
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of natural and synthetic catalytic RNA complexes focusing on circular RNAs and their potential role at the origins of life. COL is funded by the Villum Foundation. Expected start date and duration of
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of Torben Heick Jensen. Expected start date and duration of employment Positions are available from 1 September 2026 or as soon as possible hereafter. Duration of employment is two years with a possibility of
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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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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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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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imaging of breast cancer as per 1st of May 2026 or as soon as possible thereafter. The position is a fixed-term full-time position for 1 year. As a Postdoctoral researcher at the Department of Clinical
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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