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Science, Global Change Science and/or Macroecology Experience in studying biodiversity patterns across spatial and temporal-scales from regional to global Experience in advanced statistical analyses
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multidisciplinary research projects. • Analyze, integrate, and interpret genomic, transcriptomic, proteomic, lipidomic, spatial multi-omics, imaging, and other high-dimensional biological datasets. • Identify
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genomic, transcriptomic, proteomic, lipidomic, spatial multi-omics, imaging, and other high-dimensional biological datasets. • Identify candidate molecular pathways, disease mechanisms, therapeutic targets
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agriculture, and data-driven decision support. The position involves field experimentation, field and laboratory data collection, spatial and statistical analyses, GIS mapping, and support for ongoing research
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environment, and communicate clearly through both scientific writing and presentation. Candidates should be eager to develop expertise in stroke immunology and to apply state-of-the-art spatial, cellular, and
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for mining, classifying, and forecasting from heterogeneous data sources Spatial-temporal statistics/modelling from heterogeneous data (Bayesian hierarchical models, autoregressive models, random fields
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datasets (bulk, single-cell, and spatial). Primary responsibilities include developing sequencing pipelines, maintaining project databases, designing validation experiments, and drafting manuscripts and
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(Apptainer/Singularity, Docker), and version control (Git). Experience with single-cell and spatial transcriptomics analysis. Working knowledge of applied statistics relevant to genomics, including generalized
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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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experimental studies with insights from human populations. We use single-cell and spatial genomics, epigenomic profiling, microbiome analysis, and large-scale human datasets to uncover biological principles in