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. You have a background in machine learning for spatial data (e.g., random forest, neural networks) or are open acquiring these skills. You have experience with handling large geospatial datasets and
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(TMJ) degeneration and pain, and salivary gland degeneration. The lab uses mouse and human iPSC/organoid models equipped with genomic, single cell RNA sequencing, spatial transcriptomics, tissue clearing
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simulation and spatial analysis. · Experience writing and publishing manuscript(s) that report original research. · Experience preparing research proposals. · Excellent written and oral
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
(e.g., single-cell RNA-seq, bulk RNA-seq, ChIP-seq, methylation data, or any other). Proficiency in analyzing single-cell ATAC-seq and spatial transcriptomics, programming languages and advanced
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | about 2 months ago
increasingly utilizes big data, satellite imagery, register data, and advanced methods such as deep learning and neural networks to address major societal challenges related to spatial inequalities and
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
(e.g., single-cell RNA-seq, bulk RNA-seq, ChIP-seq, methylation data, or any other). Proficiency in analyzing single-cell ATAC-seq and spatial transcriptomics, programming languages and advanced
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for improving the environmental impacts of wood production over broad spatial scales. Required Skills and Qualifications: PhD in a forestry- or conservation-related discipline. Strong background in field survey
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of biotic heterogeneity in urban environments and the spatial/temporal dynamics of these drivers. This will involve working with pre-existing data collected by the lab, as well as collaborator data and
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they would design, organize, and conduct advanced quantitative (statistical, spatial, etc.) analyses relevant to climate equity, environmental justice, and/or environmental health; translate complex data and
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monitoring and profiling of breast tissue and systemic responses; Use of mouse models to study early tumour initiation; Application of single cell and spatial transcriptomics, lineage tracing, and multiomics