52 data-visualization-analysis Postdoctoral positions at Aarhus University in Denmark
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on the development and application of computational tools in the project. This includes, first and foremost, computational text analysis to detect shaming and shamelessness in parliamentary debates, party manifestos
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crystallographic and scattering data analysis, including handling large datasets. Solid understanding of crystallography, powder X ray diffraction, diffuse scattering, phase transitions, and background modeling
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Sheet darkening, and relate them to ice melt at large spatial scales using remote sensing. The postdoc in this project will be the main responsible for the acquisition of data related to snow and ice
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Associate Professor Martin Thomsen’s group on data analysis and model development. You will report to the Professor Ian Mills/Associate Professor Emma Evergren. Your competences You have academic
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Experience with synchrotron X ray scattering and/or XFEL experiments. Strong skills in crystallographic and scattering data analysis, including handling large datasets. Solid understanding of crystallography
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are software representations of physical assets, processes, or systems. They leverage real-time data to mirror the behaviour and characteristics of their physical counterparts, enabling predictive maintenance
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radiotherapy. Experience with photon-counting CT will be a considerable advantage. Deep learning knowledge will be an asset. CT image analysis skills is a prerequisite. You should have a strong theoretical
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biology to integrate multi-omics and functional information across plants and identify genes associated with stress resilience. The position is part of the Novo Nordisk Foundation Emerging Investigator
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Postdoctoral position for the project Human AI Collaboration: Imaginaries, Interventions, Interfaces
The Department of Digital Design and Information Studies within the School of Communication and Culture at Aarhus University invites applications for a postdoctoral position “Human AI Collaboration
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with related departments. Contact information For further information, please contact: Professor Troels Skrydstrup, +45 28 99 21 32, [email protected]. Application procedure Shortlisting is used. This means