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Field
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research and handling sensitive data is preferred. • Strong quantitative skills, including proficiency in regression modeling, environmental mixtures analysis, and spatial methods using R. • Familiarity with
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 2 months ago
interdisciplinary collaboration. Demonstrated programming skills, preferably in Python (e.g., PyTorch, NumPy, pandas, polars). Experience with spatial and/or temporal data analysis (geographic data, satellite imagery
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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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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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projects ranging from score-based generative models, energy-based models, Bayesian analysis of graph and network structured data, highly multivariate stochastic processes; with data applications ranging from
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://pritykinlab.princeton.edu ) develops computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a focus on multi-modal single-cell, spatial and genome editing
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, spatial, and social data into digital twin models for scenario testing and policy simulation. Adapt co-design methods to local contexts in demonstrator sites (Portugal, Sweden, Italy). Contribute to policy
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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
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to support community-based organizations, funders, and other stakeholders working towards social, racial, economic, and environmental justice. ERI produces data-driven analysis and rigorous research to inform
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: Geographic Information Systems (GIS): Knowledge of GIS for spatial analysis, including tools such as ArcGIS or QGIS. Publication & Presentation Experience: Experience in publishing research in peer-reviewed