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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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Foundation (FAPESP), and combines statistical analysis, spatial methods, and qualitative research. Georeferenced data from the Military Police and the Municipal Secretariat of Urban Security will be used
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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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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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cover letter to: Jenny Hasija Administrative Specialist jenifer@med.umich.edu Focus area: Spatial biology quantitative analysis. The selected candidate will perform quantitative analysis of spatial
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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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society are required. Knowledge and skills of GIS and spatial studies are considered advantageous. To apply, please submit your application at https://careers.purdue.edu and include the following materials
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a unique opportunity to join a world-class team dedicated to understanding and advancing the field of cancer immunology through innovative spatial analysis of the tumor microenvironment. Requirements
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. Interest in Natural Hazards and Risk, spatial analysis and landslide modeling Interest in the systematic investigation of real and potential consequences of landslides on societal systems in the sense
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next-generation sequencing, single-cell and spatial transcriptomics and proteomics, and advanced data analysis pipelines. It serves as a centralized resource for all investigators within the Department