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project EXPULSE investigates how urban expulsion regimes shape housing trajectories among low-income residents, urban citizenship, and socio-spatial inequalities in four European cities: Brussels, Amsterdam
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project EXPULSE investigates how urban expulsion regimes shape housing trajectories among low-income residents, urban citizenship, and socio-spatial inequalities in four European cities: Brussels, Amsterdam
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collaborative research environment to analyze unique spatial data in an innovative manner. You will develop and perform cutting-edge bioinformatic analysis integrating different multiplexed spatial data, and gain
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 21 hours ago
; epidemiologic research in chronic diseases; cancer epidemiology; spatial, environmental, social, and/or genetic epidemiology; aging; cardiometabolic and cardiovascular outcomes; substance use; injury prevention
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to high-dimensional omics datasets. Familiarity with transcriptomic analysis tools (e.g., Seurat, Scanpy, DESeq2). Experience with spatial transcriptomics and multi-modal data integration is highly
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 18 days ago
, generating and analyzing high-dimensional data, and integrating single-cell insights with complementary datasets produced within the project. You will: Design and execute single-cell and/or spatial
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to establish mechanistic insight and therapeutic direction. The Research Associate will contribute to project leadership through experimental design, data analysis, and dissemination of findings through high
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activities through field surveys and data analysis; 4. collection, processing and analysis of samples for environmental DNA (eDNA) aimed at species detection and spatial distribution assessment; 5. performance
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maintain algorithms in biomedical image analysis pipelines. Validate algorithm performance on novel datasets. Analyze spatial transcriptomic data. Perform statistical analyses on data extracted form bio
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the occupational risks faced by inhabitants of the Roman Empire influenced their choice of preferred cults. The main methods used in the project include spatial analysis, predictive modelling, statistics, and the