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African ocean basins. O2. Building anticipatory governance to ensure that actions to achieve transformative visions are sensitive to multi-scale temporal and spatial dynamics. SRC is leading WP 2 that aims
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: Experience in method development, working with spatial data, and GIS Experience with univariate and multivariate analysis and working with large datasets Experience with working independently and organizing
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of renewable biological resources, including in relation to environmental variability. This includes the development and use of data analysis methods and models capable of describing and integrating physical and
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allocation from Science Faculty Niche Research Area to establish world-class research teams to develop the necessary experimental platforms, modelling and data analysis capabilities. Research Assistant
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analysis of in situ measurement data and spatial remote sensing data - Participation in the scientific supervision of students - Participation in national and international mobility programs The project is
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proteomics. Experience with spatial data analysis including multiplex IHC and CODEX. Familiarity executing bioinformatics pipelines in local UNIX/Linux environments and cluster execution (LSF). Proficiency in
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, selection, and clonal dynamics, using high-throughput sequencing and systems-level analysis. Work on the engineering and functional assessment of synthetic or ex vivo thymic environments to control immune
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commitment to growing with us. Your Tasks Expertise and Methodological Development Establish, optimize, and expand workflows for spatial omics technologies, from sample preparation through analysis to data
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stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. The Nelson research group (https://research.fredhutch.org/peternelson/en.html at the Fred Hutch
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California State University, San Bernardino | San Bernardino, California | United States | 1 day ago
course content: Advanced Epidemiology, Advanced Biostatistics, Research Methods, Program Planning and Evaluation, Infectious and Chronic Disease Epidemiology, Spatial Epidemiology, Advanced Topics in