48 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Dip" Postdoctoral positions at Aarhus University
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refer to http://mbg.au.dk/ for further information about The Department of Molecular Biology and Genetics and to https://nat.au.dk/ and http://www.au.dk/ for information on Faculty of Natural Sciences
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The Department of Biological and Chemical Engineering, Aarhus University, invites applications for a postdoctoral position offering an exciting opportunity to contribute to the work on reactor
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: https://ece.au.dk What we offer The Department of Electrical and Computer Engineering offers: An exciting opportunity to work on cutting-edge research in IoT systems and critical infrastructure monitoring
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fishing activities, major shipping routes, and offshore development locations. The EU Oceans Pact highlight the need to assess and manage dumped munitions. Two EU-funded projects, MUNI-RISK ( https://muni
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: http://international.au.dk/research/ The Danish School of Education The Danish School of Education at Aarhus University is Denmark’s largest centre for research and teaching in the fields of education
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) hierarchical structures, (2) monetised interactions, and (3) asymmetrical relationships. Externally, creators form alliances to shape the conditions of content production. The project approaches creator
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for fundamental optomechanics and practical gas sensing applications. The postdoctoral fellow is expected to contribute to the design, fabrication and optical/structural/mechanical characterization of “string
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next‑generation insect camera traps with on‑device (edge) computing for real‑time detection and classification Collaborating in an interdisciplinary team spanning ecology, computer science, engineering
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of open data and open science. Your profile The ideal candidate should have: A PhD in environmental engineering, ecology, environmental science, biology, data science, computer science, or a closely related
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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