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various data analysis tasks. Your work will focus on carrying out data preprocessing, data wrangling, and carrying out analyses using R (and sometimes Python). An example project you could be working with
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The Department of Computer Science, Aarhus University invites applications for postdocs, funded by Professor Anders Møller’s ERC Advanced Grant project “Program Analysis for Software Supply Chain
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20 Sep 2026 Job Information Organisation/Company Aalborg Universitet Department The Faculty of Medicine, Department of Health Science and Technology, Medical Informatics and Image Analysis Research
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At the Faculty of Medicine, Department of Health Science and Technology, one or more PhD stipends in Unsupervised Learning for Medical Image Analysis are available for appointment from November 1
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Materials Development (Lab4DMade). A central aim of the project, and of this position, is to develop local strain analysis tools for the state of-the-art laboratory 4D X-ray micro-beam diffraction technique
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., statistical methods for forensics, life sciences, topological data analysis, spatial statistics, and computational statistics). Learn more about the Department of Mathematical Sciences here . The Department
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, topological data analysis, spatial statistics, and computational statistics). Learn more about the Department of Mathematical Sciences here . The Department of Clinical Medicine provides research-based teaching
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We are offering a PhD fellowship in “Agentic AI and Foundation Models for Global Pathogen Analysis” commencing September 1st, 2026, or as soon as possible thereafter. Our group and research
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PACE - Lundbeck Foundation Parkinson’s Disease Research Center, Department of Clinical Medicine at the Faculty of Health, Aarhus University invites applications for a position as group leader (Associate Professor level) in the field of live-cell in vitro modelling of Parkinson’s disease as per 1...
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We hereby invite applications for one or more PhD position focusing on the development and application of hyperspectral imaging technologies for bulk forensic evidence analysis. The project aims