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. Christensen (jch@plen.ku.dk , phone: +4535332456) and Associate professor Nikoline Juul Nielsen (njn@plen.ku.dk , phone: +45332344), both Section for Environmental Chemistry and Physics. Further information
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, Tensions), led by associate professor Mette Simonsen Abildgaard and funded by the Independent Research Found Denmark (DFF). Project description The Tensions project aims to study how 'good' infrastructure is
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postdoctoral researchers willberecruited to workcloselyacross the two AAU departments of Sustainability and planning (PLAN) and Computer Sciences (CS). The project’smethodological PI is Associate Professor
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permanent staff of 43 full, associate and assistant professors, a support staff of ~40 technical and administrative staff, ~150 PhD-students and ~100 postdocs and around 350 students. In
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. Science Advances (2024). https://doi.org/10.1126/sciadv.adk1250 Your qualifications: Required qualifications: Applicants must hold a PhD degree in computer science, bioinformatics or similar. The applicant
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
Science (https://www.sdu.dk/en/om-sdu/institutter-centre/imada_matematik_og_datalogi ), depending on their academic background. The position is open to candidates from computer science, data science
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initially for two years with the possibility of extension. We are seeking a highly motivated researcher who is excited to play a key role in developing an ambitious research programme and establishing
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Offer Starting Date 1 Sep 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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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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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural