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of Political Science and the Centre for International Conflict Analysis and Management. As part of your PhD position, you will also contribute to teaching (max 5%) and will have the opportunity to work
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genomics, spatial omics, flow cytometry, sequencing, biobanking, and related genomic technologies; • Lead or contribute to the analysis and interpretation of research findings and disseminate
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that looks plausible but violates physics and is therefore of limited use for grid planning. As a PhD candidate you will develop physics-informed, domain-constrained generative models for energy-system data
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special issues. Contribute to the supervision and the day-to-day scientific support of the PhD student working on WP1. Required profile Education and experience PhD in geography, urban planning, spatial
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analysis, cell-state and cell–cell communication analysis, and predictive modeling. Lead secondary projects involving single-cell RNA sequencing and spatial transcriptomics. Perform raw-data processing
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potential of restoring perennial plantings (e.g., hedgerows, windbreaks, riparian restoration) in Canadian agricultural landscapes. The Postdoctoral Research Fellow (PDF) will support the Spatial Science
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involving tissue microarrays. F2 Technical experience in aspects of spatial biology, such as multiplex phenotyping, next generation sequencing methodologies, spatial transcriptomic analysis. F3 Data analysis
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the pragmatism that is needed to move a project forward. By the time the position starts, you have obtained a PhD degree in Data Sciences, Computer Sciences, Physics, Earth Sciences, Civil Engineering, or a
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
imaging or omics datasets (proteomics, metabolomics, lipidomics, spatial transcriptomics) * Cellular metabolism and stress biology * Biochemistry and protein analysis techniques * Immunology Minimum
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satisfactory performance. Preferred Qualifications: Scientific : A PhD with expertise in a relevant discipline (landscape ecology, spatial ecology, agroecology, data science/data management) is required