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Annotation of datasets and downstream integrative data analysis (e.g. pathway mapping of images) Support with teaching and writing publications We seek a candidate with excellent practical skills in MALDI
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Aarhus University with related departments. Contact information For further information, please contact: Prof. Anders Bentien, bentien@bce.au.dk, +45 30 36 95 15 Deadline Applications must be received
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Aarhus University with related departments. Contact information For further information, please contact: Prof. Anders Bentien, bentien@bce.au.dk, +45 30 36 95 15 Deadline Applications must be received
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20 Apr 2026 Job Information Organisation/Company Copenhagen Business School Department Department of Marketing Research Field Economics Researcher Profile First Stage Researcher (R1) Positions
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22 Apr 2026 Job Information Organisation/Company Aalborg Universitet Department The Technical Faculty of IT and Design, Department of Computer Science, Section for Distributed, Embedded and
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Research Assistant in Physical Computing and Wearables at the Department of Computer Science, Aar...
research is at the cutting edge of Human-Computer Interaction (HCI), personal fabrication, and physical user interfaces. As a research assistant, you will support our research team on implementing a novel
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Aarhus University is seeking three postdoctoral fellows for research on metabolic dynamics and pl...
employment The place of work is Gustav Wieds Vej 10, 8000 Aarhus C, and the area of employment is Aarhus University with affiliated institutions. Contact info Applicants seeking further information are invited
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autocracies. CULTS aims to produce the first-ever systematic analysis of the dynamics of authoritarian personality cults and their consequences. Utilizing, among others, the latest advances in text-as-data
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closely with signal processing pipelines built on real measurement data — including baseband I/Q signals — and contribute to both algorithm development and experimental validation. The role involves close
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implement state-of-the-art data science principles into dental practice. While our primary focus is on the use of deep learning in (dental) imaging, our work expands into any type of data (e.g. tabular data