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, provided that completion in the near future can be reliably demonstrated. Demonstrated scientific expertise in machine learning and deep learning. Knowledge of explainable AI (XAI), uncertainty analysis and
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projects addressing the molecular understanding of breast cancer through the analysis of single-cell genomics, spatial genomics, transcriptomics and imaging datasets. Following directions from
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and damaging storms, and cascading risks such as bark-beetle outbreaks. Forest owners and regional authorities need spatially detailed, timely information on where climate stress is emerging, and which
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plantings (e.g., hedgerows, windbreaks, riparian restoration) in Canadian agricultural landscapes. The Postdoctoral Research Fellow (PDF) will support the Spatial Science/Synthesis component of the project
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/Engineer 3 (RS/E 3) in the Zhu Laboratory leverages state-of-the-art microphysiological systems, imaging technologies, and single cell RNA sequencing and spatial transcriptomics to study host immune
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Associate I, Immunobiology Posting Number req26998 Department Immunobiology Department Website Link https://immunobiology.arizona.edu/ Location Tucson Campus Address 1501 N. Campbell Ave., Tucson, AZ 85719
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optimizelibrary preparation for scRNA-seq, snRNA-seq, spatial transcriptomics, and related workflows, while contributing to the bioinformatic analysis, integration, and interpretation of multi-omic datasets. You
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time for Biology — enormous advances in global genome analysis coupled with unprecedented developments in interdisciplinary research have made the 21st century the Century of Biology. For more
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functionality in response to global changes and restoration efforts at large spatial and temporal scales is essential to understand where action is needed and to monitor restoration success. Developments in
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spatial and temporal variability in sediment accumulation and vegetation development. This PhD project is part of a larger interdisciplinary research initiative aiming to enable a transition towards more