37 graph-visualization-analysis Postdoctoral positions at Aarhus University in Denmark
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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 Clinical Medicine at Faculty of Health at Aarhus University invites applications for a postdoc position in the field of medical physics, within the topic image-based analysis
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that are difficult to capture through art historical analysis or qualitative methods alone. Art practices engage creatively with embodied memory and material remnants of colonial history, opening new possibilities
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partners. The work includes e.g. in-depth stakeholder interviews across partner regions and countries, visual mapping of stakeholder arguments, development of stakeholder personas, and a systematic
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The Department of Biomedicine at Faculty of Health at Aarhus University invites applications for a position as Postdoc in the field of Transcriptomic analysis of the immune response in Parkinson’s
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botanical journals, as well as Johan Lange’s role as editor and populariser of the Flora Danica project. The postdoc will identify and examine episodes of specimen collecting, botanical collaboration, visual
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advanced properties, primarily concerning circular RNAs. The postdoc project will be involved in all aspects of COL but focuses primarily on visualizing and structural characterizing catalytic RNA complexes
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., biomarkers and traits related to the target disease). There is also scope within the postdoc for developing “more standard” GWAS tools (e.g., tools for association analysis, constructing polygenic scores and
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Anatolia and from the Tigris to the Mediterranean with a focus on visual culture. Qualifications Applicants must hold a PhD degree in Classical Archaeology or document equal qualifications and be able
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-based readouts. Contribution to the design, implementation, and analysis of NMR/MRI experiments, including saturation-transfer and related contrast mechanisms. Collaboration with project partners