28 component-labeling-agorithm-cuda Postdoctoral positions at Aarhus University in Denmark
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, preferably with experience in Bayesian modelling. The postdoc will be part of a research group with other postdoctoral researchers and associated senior scholars. “Milestone” (2025-2028) addresses significant
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of experimental procedures, ensure data quality and reproducibility, and contribute to the writing of manuscripts and grant applications. The successful candidate will also take part in regular group meetings and
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practices with generative AI tools. As part of this work package, the postdoctoral researcher will be expected to conduct fieldwork in three classrooms in collaboration with the researchers in the team, in
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well as international partners. Field experiments, digital technologies - including modelling and remote sensing, as well as interactions with stakeholders are key components of Land-CRAFT. You will be part of a research
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the creator economy. The postdoctoral position is part of the research project ‘New Media Monetisation’ funded by the Aarhus University Research Foundation (AUFF). The postdoc is a full-time, 2.5-year
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The position is for a two-year period starting from 1 February 2026 or as soon as possible therefter. Job description The position is part of an interdisciplinary project “High throughput Virtual 3D
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candidate will contribute to advancing fundamental algorithms as well as real-world applied solutions. In addition, the Postdoc is expected to develop their own research profile and take part in the broader
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to work as part of an interdisciplinary team. Who we are iNANO, Interdisciplinary Nanoscience Center (www.inano.dk), was established in 2002 and at present is a major research and education center based at
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, part of the Faculty of Science and Technology at Aarhus University, conducts research in Molecular Medicine, Systems Biology, Structural Biology, Plant Molecular Biology, and Quantitative Genetics
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the creator economy. The postdoctoral position is part of the research project ‘New Media Monetisation’ funded by the Aarhus University Research Foundation (AUFF). The postdoc is a full-time, 2.5-year