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Join us at the Department of Electrical and Computer Engineering at Aarhus University for a postdoctoral position focused on deep learning based analysis of remote sensing data for groundwater
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The Department of Ecoscience at Aarhus University invites applications for two postdoctoral positions to strengthen our research on image recognition, computer vision and deep learning applied
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unified data framework for microbial carbon dioxide conversion, integrating data from methanogens, acetogens, and hybrid projects for standardization, kinetic/thermodynamic measurements, and predictive
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Mechanics and Turbulence” group and conduct research on data-driven techniques for turbulence modeling in LES and RANS. The initial contract will be for one year, with the possibility of an additional one
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processes Insight into processes controlling phosphorus availability Experience with soil phosphorus fractionation techniques, nutrient leaching assessments, sorption isotherm studies or related analytical
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consists of two work packages. WP1 approaches the research question through the lens of analytical political philosophy. It will suggest and examine factors that intensify or temper the wrongness
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Radiation Oncology within the AIM@CANCER research center as per 1 April 2026 or as soon as possible thereafter. The position will be combined with a function in the Danish Data Science Research Infrastructure
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electrical and computer engineering for real-world, large-scale applications. The NAN group has strong expertise in wireless networks, routing, network security, data analytics, and cooperative multi-agent
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on “ Integrating AI into Aquatic Ecosystem Models to Decode Ecological Complexity ” funded by Villum Fonden. Within that project, the focus is on exploring novel ways to infer information from environmental data
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dynamics information. As a postdoc, you will contribute to the development of single molecule fluorescence real-time imaging methodologies using both experimental approaches, involving model nucleic acids