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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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as part of a running team including two PhD students. Your profile Applicants should hold a PhD in molecular biology, genetics, epigenetics, developmental biology, or a closely related field
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strategies and market positioning. Job description The successful candidate is expected to contribute to the overall objectives of the project by being involved in design, implementation, data collection, and
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. Your competencies You hold a PhD degree in mechanical engineering or a closely related field, and you have a strong background in solid and computational mechanics. You have solid experience with finite
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diffraction experiments on a wide range of materials Program and establish analytic tools to assess data quality Support users in experiment planning, sample preparation, data analysis, and structure
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15 Jul 2026 Job Information Organisation/Company Aalborg Universitet Department The Faculty of Medicine, Deanship, SUND, Deans Office, Health Research Field Medical sciences » Medicine Researcher
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conduct local Danish data collection and perform collaborative and comparative analyses of the data. The following tasks will all be core activities: Conduct and analyse focus group interviews with Danish
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for candidates with a PhD from another university than Aalborg University. The positions are open to outstanding candidates who wish to develop and lead their own independent research project within one
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for candidates with a PhD from another university than Aalborg University. The positions are open to outstanding candidates who wish to develop and lead their own independent research project within one
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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