73 post-doc-image-engineering-computer-vision Postdoctoral research jobs at Aarhus University
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The Department of Business Development and Technology ( BTECH ) at Aarhus BSS, Aarhus University invites applications for a postdoctoral position in environmental politics and carbon removal
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Do you have a passion and vision for developing new platforms to unleash the power of microbial metabolism and physiology to find scalable solutions for CO2 capture and conversion ? Come and be
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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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2026 or as soon as possible thereafter. The Post Doc will be connected to ongoing research activities conducted within the area of Sensory and Consumer Science. The candidate is also expected to take
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innovative research, contracted policy advice, and education. We offer professional laboratories, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as
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The Department of Business Development and Technology at Aarhus University invites applications for an 18‑month postdoctoral position in AI Ethics for the Public Sector, starting 1 September 2026
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design. However, there is a great need to develop new software for the design of advanced RNA origami robots that can sense, compute and actuate [2]. In the recently funded RIBOTICS (RNA Origami Technology
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origami robots that can sense, compute and actuate [2]. In the recently funded RIBOTICS (RNA Origami Technology in Cell Systems) project, the lab aims to develop RNA origami robots for cell factories (yeast
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The Novo Nordisk Foundation has established a world-leading interdisciplinary research center to develop knowledge and technology for capturing and recycling carbon dioxide. The center is based
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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