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University of California Agriculture and Natural Resources | Oakland, California | United States | 2 days ago
programming. Experience conducting spatial analysis and geocoding using ArcGIS or other geospatial software. Demonstratable skill and experience with data visualization and presenting data in accessible formats
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standard operating procedures (SOPs) for conducting spatial transcriptomics studies and ensure high-quality analysis and reporting Define the quality controls required for the various stages
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available1Company/InstituteCentre d'études spatiales de la biosphèreCountryFranceCityTOULOUSEGeofield Contact City TOULOUSE Website https://www.cesbio.cnrs.fr STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn
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infrastructures organized in infrastructure platforms, of which the Vibrational Spectroscopy Core Facility (ViSp) is a central infrastructure for this project (https://www.umu.se/en/research/infrastructure/visp
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molecular biology, including primary cell culture and ideally some experience with 3D systems. Familiarity with spatial or transcriptomic approaches and image analysis would be an advantage. We are looking
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Department of Geography and Spatial Planning (https://dgeo.uni.lu ) and participate to its activities Your profile Master's degree in human geography, spatial economics, or a quantitative social science field
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funding. Appointment Start Date: Fall 2025 Group or Departmental Website: https://hph.stanford.edu/careers/ (link is external) How to Submit Application Materials: Submit all application materials
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hours; Health insurance, employee benefits, and life in a pleasant and safe city; Competitive salary. Where to apply E-mail vladimir.remes@upol.cz Website https://pracuj.upol.cz/nc/zprava/clanek/postdoc
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faculty members, researchers, research engineers/associates, and doctoral students, working across areas recognised in France and internationally, such as spatial modelling and analysis, health and risk
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Your Job: Develop methods and workflows to construct robust co-regulation networks from large single-cell and spatial transcriptomics datasets Integrate ontologies and metadata (e.g., tissue, cell