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performing data collection and data modeling Visualize data for deeper insights Generate and present technical research reports and briefings Perform statistical analysis in support of pattern of life and
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and connectivity. How neural systems supporting visual word-form processing, spoken language, music and spatial navigation are organised and interrelated. Whether individual differences in memory
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microbial genome sequencing, metagenomics, metabolomics, transcriptomics, single-cell or spatial profiling, and computational analysis. These technologies will be used primarily to identify microbial
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Experience in some/all research methodologies relevant to the post such as analysis of soil organic compounds, microbial community analyses, techniques to manipulate mycorrhizal fungal interactions and
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field measurements, data analysis, and model development, in collaboration with a broader interdisciplinary project team working on sediment dynamics, restoration monitoring, remote sensing, and blue
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offers research opportunities to motivated postdoctoral fellows interested in solving agriculture-related problems at a range of spatial and temporal scales, from the genome to the continent, and sub-daily
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-level knowledge in computational biology, bioinformatics, systems biology, data science, or a related field. • Strong experience in transcriptomic data analysis, experience with spatial transcriptomics is
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. Additionally, the successful applicant will carry out wet-lab experimental work combining human tissue sample analysis and in vivo mouse models. They will use techniques such as single-cell and spatial multi
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. Support maintenance of the Duke Forest’s GIS database, including GPS data collection, producing spatially explicit management records, and performing basic cartography and spatial analysis tasks. Assist in
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through the analysis of oceanographic samples, interpretation and synthesis of multidisciplinary datasets, dissemination of research findings through publications and presentations, and archiving of data in