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. The project focuses on high-precision optical computing for neural network applications and leverages a radically new digitized optical computing architecture. You will play a central role in advancing
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The Department of Computer Science, Aarhus University, invites applications for a full-time 2-year Postdoctoral position, starting 1 April 2026– or as soon as possible thereafter. Position and
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, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models
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, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models
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tasks The successful candidate will work closely with our international network of collaborators while contributing to the design, coordination, and execution of high-impact translational research
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integrates CRISPR-based genome engineering, quantitative and live-cell microscopy, biochemistry, and computational analysis to dissect how cells sense and respond to replication-associated threats. Recent work
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-of-the-art facilities and computing infrastructure Strong support for research career development, including mentoring and international networking opportunities A commitment to diversity, equity, and
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Postdoc position in advancing nature-based restoration and sustainable management of freshwater l...
field equipment, and modern core facilities such as imaging and computational resources. The department offers a research climate characterized by lively, open, and critical academic discussion within and
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an experience in technology-assisted monitoring or computational image analysis. Expected start date and duration of employment The position will start in June 2026, with exact starting date as agreed between
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-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international researcher network. The department consists of nine research sections with