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quantitative image analysis, single-cell RNA-seq, as well as 2D cell line and 3D organoid culture (including maintaining stocks of lines). Additional techniques and experimental procedures may include spatial
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statistical and epidemiological methods Working experience with data analysis software, such as Stata, SPSS, R, or Mplus Experience in spatial and temporal data analysis using GIS, including RStudio/Python
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also demonstrate knowledge in the spatial analysis of GPS data, with the ability to process and interpret information obtained from tracking devices. The fellow will directly support the experimental and
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(immunohistochemistry/fluorescence, in situ hybridization) and emerging spatial transcriptomic technologies coupled to a robust image capture and semi-automated image segmentation pipeline to enable the large-scale
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systems, including methods for colloid characterization Spatially resolved surface analysis using interference microscopy and autoradiography Derivation and parameterization of mechanisms Interdisciplinary
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; Tasks may include data collection and cleaning, econometric and structural analysis, conducting literature reviews, and/or documenting data work with reproducible replication packages. Your profile Master
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consequences for essential ecosystem processes. In the framework of the Biodiversity Exploratories (https://www.biodiversity-exploratories.de/en/ ), funded by the German Research Foundation (DFG), the project
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correctement les processus propres aux panaches. Leur résolution spatiale est généralement trop grossière pour résoudre les structures à l'échelle des panaches, ce qui entraîne une dilution et un mélange
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cultural diversity and urban public space. The fellow will support the implementation of research activities across three main themes: 1. Urban Landscape Mapping – assisting in the collection and spatial
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
Anatomy Full Time 88327BR Job Summary Under direct supervision, Bioinformatics Programmer applies machine learning and artificial intelligence (AI) concepts for the analysis of large scale genomics