31 parallel-computing-numerical-methods Postdoctoral positions at Aarhus University (AU)
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Two postdoc positions in Thermofluid Design and Digital Modeling of Cooling Systems for Electroch...
parallel computing. Familiarity with digital twins and real-time deployment of predictive models is an advantage. Who we are The two postdoctoral positions will be hosted across the two complementary
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Alternaria alternata and Phytophtora infestans You will work with data obtained with Poleno Jupiter instruments, with data obtained with DNA methods and data obtained with a Hirst trap. Numerical models
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are expected to have a solid background in quantum physics and experience with quantum many-body scars is an advantage. Experience within numerical methods for quantum many-body systems is required
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Computing , Mathematics , 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 from which you will
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Postdoc in first-principles modelling and machine-learned force fields for correlated disorder in...
-dynamical methods and statistical sampling to investigate local disorder, phase stability, temperature-dependent behaviour and structure-property relations. Investigate how defects and correlated disorder
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Postdoctoral Research Fellow - Human-Centered AI for Data Visualization at Computer Science, Aarh...
Discipline 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
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Aarhus University (AU) Location Aarhus, Midtjylland (DK) Salary Competitive Closing date 21 Sep 2026 View more categories View less categories Discipline Computing , Engineering Job Type Postdoctoral
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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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geospatial, biodiversity, vegetation-plot, remote-sensing or environmental datasets; knowledge of climate and land-use scenarios, including SSP/RCP-based projections, and methods for propagating or
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methods to whole-genome data. Extensive hands-on experience with bioinformatic analysis of whole-genome sequencing and resequencing data, including quality control, variant discovery, filtering and