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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
The Histology Specialist will become familiar with all aspects of working in the Pathology Services Core. These duties include, but are not limited to, image acquisition, data extraction and analysis, image
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Facility (ViSp) is a central infrastructure for this project (https://www.umu.se/en/research/infrastructure/visp/ ). The scholarship (30 000 sek/month) is funded by the Carl Trygger Foundation and the
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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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simulations and laboratory studies. Candidates must submit a project proposal based on the following elements: concept and objectives; theoretical and contextual references; spatial and compositional
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-dimensional single-cell analysis technologies and spatial proteogenomics to dissect interaction networks between immune cells and the tumor microenvironment. The post holder will develop experimental work flows
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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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Responsibilities: · Develop novel statistical methods for robust pathway analsysis · Develop novel statistical methods for spatial transcriptomics data analysis · Data management · R
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. Knowledge and Skills Essential: C1 A comprehensive and up-to-date knowledge of vertebrate ecology C2 Skilled in the use of GIS for mapping and spatial analysis of ecological data C3 Skilled in DNA extraction
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& GIS: integrate phenology, habitat, and connectivity metrics; carry out spatial analysis and mapping. Open, reproducible science: develop transparent workflows, version control, and shareable tools and
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in bioinformatics of spatial transcriptomics, scRNA seq Proficiency in statistical methods for data analysis, including a strong understanding of statistical principles Solid foundation in Biological