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Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
A 2.5-year position as Postdoctoral Researcher within the field of Freshwater Ecology is available at the Department of Ecoscience, Aarhus University. The expected start date is 1st of September
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The Department of Agroecology at Aarhus University, Denmark, is offering a postdoctoral position in global change and ecosystem sustainability, starting from 1 June 2026 or as soon as possible
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. The position is part of the new research project “Functional screening to identify novel repressive chromatin factors,” combining genome-wide reporter-based screening , FACS , and multi-omics/proteomics
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functional properties. The post doc position is part of the Food technology group at Department of Food Science, Aarhus University and may also include teaching and dissemination activities, as
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The Department of Agroecology at Aarhus University, Denmark, is offering a postdoctoral position in molecular plant pathology, starting 01-07-2026 or as soon as possible thereafter. The position
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The Department of Agroecology at Aarhus University, Denmark, is offering a postdoctoral position in Section for Crop Genetics and Biotechnology, starting 01-06-2026 or as soon as possible thereafter
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? Then the Department of Electrical and Computer Engineering invites you to apply for a 2 year postdoc position bridging research with industrial implementation and innovation. Expected start date and
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Center (iNANO), Aarhus University invites you to apply for a Post Doctoral position. This is a fixed term 2-year position from 1st March 2026 or as soon as possible thereafter. Job description You will be
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Three-Year Postdoctoral Position: Role of Extracellular Nucleic Acids in Interspecies Communicati...
We invite applications for a 3-year postdoc position in the team of Professor Amelia-Elena Rotaru at the University of Southern Denmark. This position is part of a Semper Ardens Accomplish grant
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will