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The Department of Agroecology at Aarhus University, Denmark, is offering a postdoctoral position in machine learning for advanced peatland mapping, starting 01-12-2025 or as soon as possible
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-cell CRISPR screens). Mapping dynamic network rewiring from joint scRNA-seq + scATAC-seq. Identifying state-specific causal networks from population-scale scRNA-seq. We approach single-cell biology as a
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, crosslinking methods, RNA complex mapping Regenerative Medicine & RNA Therapeutics (Jin-Hong Kim): RNA therapeutics, ASOs, biomarkers Ideal Candidate We seek outstanding candidates with: - Recent or upcoming
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. The position will be available for a 3-year period. You will be part of a research environment focusing on applying digital solutions to map spatial and temporal variability of crop growth as well as evaluate
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should detail your experience and provide factual evidence for it (e.g., specific publications). A scientific CV with contact details and link to your Google Scholar profile. List of publications (and
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contact details and link to your Google Scholar profile. List of publications (and patents, if applicable) Contact details of 2 references Please apply ONLINE formally through the HR system. Applications by
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mapping (SLAM), situational awareness, robotics, computer vision, machine learning, and/or related area Proven record of publications in leading (1st quartile) conferences and journals in the field
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the crucial temporal overlap in habitat function and usage during the narrow summer season window, with the timing of increased human presence in the area. Your Tasks This project focuses on mapping spatio
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microbiomes” and “The best mix – mapping cultivar mixtures in wheat and interactions with the microbiome”. Your main tasks will be to characterize microbiomes associated with plant roots to elucidate
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pediatric cancers. In prior work, we have developed tools and methods to map the cellular diversity of pediatric tumors by adapting single-cell sequencing techniques to archival frozen tumors. In that work