32 parallel-and-distributed-computing "UNIS" Postdoctoral positions at Aarhus University
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Do you have a computational background and interest in developing novel tools for integrating structural biology data to understand regulation of disordered regions of proteins? Then the Viennet lab
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The Section for Software Engineering and Computing Systems, at the Department of Electrical and Computer Engineering (ECE), invites applicants for a two-year postdoctoral position within the area of
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Join the Golden Matrix Team at Aarhus University The Center for Humanities Computing at the School of Culture and Society at Aarhus University invites applications for a two-year postdoctoral
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Applications are invited for a 1-year Postdoc position in the field of Intelligent Control for Aerial Robots at the Department of Electrical and Computer Engineering, Aarhus University, Denmark
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2025, or as soon as possible thereafter. The project explores two parallel technological routes for converting captured carbon dioxide into microbial biomass: One fully biological, and the other a hybrid
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soil microbial communities. You will be contributing to specifically the area of handling microbial data to assess the spatial distribution of several soil properties and fungal communities using samples
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contributing to specifically the area of handling spatial data to assess the distribution of several soil properties and fungal communities using samples collected from multiple habitats and land use types at a
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if the candidate is expected to have a keen interest in digital history, other team members will do the advanced computational analyses in collaboration with the rest of the team’s domain experts
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of materials science, tribology, surface integrity, and durability of engineering components. Our research spans experimental and computational approaches to understand how materials perform under mechanical
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computational models to map co-expression networks and predict systemic disease transitions. Characterise intestinal microbiome changes and their correlation with inflammatory diseases. Computational modelling