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computing platforms (e.g., AWS and Microsoft Azure). Experience with commercial business intelligence and visualization tools (e.g., Tableau and Microsoft Power BI). Place of work Department of
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University (AU) Location Aarhus, Midtjylland (DK) Salary Competitive Closing date 1 Nov 2026 View more categories View less categories Discipline Computing , Engineering , Environmental Science , Physics
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products and cloud/geospatial computing is an advantage; a publication record that is competitive for the candidate’s career stage, along with the ability to present findings clearly through scientific
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ecology, microbiome analyses, shotgun meta-genomics, microbial functional annotation, and high-performance computing are encouraged to apply. Who we are The Department of Ecoscience at Aarhus
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-scale research facilities, advanced computing capacities as well as an extensive national and international researcher network. The department consists of nine research sections with around 350 highly
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proficiency and intermediate Danish proficiency (some teaching tasks are at the BSc level, which is in Danish). Scientific computing, possibly with different programming languages (e.g., Python, MATLAB
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, Computing Job Type Postdoctoral Employment - Hours Full time Duration Fixed term Qualification PhD Sector Academia Apply on website (This will open in a new window from which you will be automatically
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computational skills, including substantial experience with command-line environments, scripting/programming (R, Python and Bash), high-performance computing and development of reproducible analysis pipelines
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Computing , Engineering , Life Science , Physics Job Type Postdoctoral Employment - Hours Full time Duration Fixed term Qualification PhD Sector Academia Apply on website (This will open in a new window
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correctness. Valued: Experience with high performance computing (HPC). Prior exposure to mass spectrometry, omics, audio, or other high-dimensional structured data. Interest in open-source software