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Offer Description 1 (one) Research Grant in the scope of R&D project Exploring Action-Specific Effects with Perceptual Spatial Displacements: Does the ‘Pong Effect’ modulates Representational Momentum
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implement analysis pipelines in several broad areas of computational biology including analysis of experimentally generated datasets in basic research, and analysis of patient-derived genomic data from UCSF
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More Jobs from This Employer https://main.hercjobs.org/jobs/22073898/research-associate-i-spatial-data Return to Search Results
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datasets and high-dimensional tissue imaging or spatial profiling data (e.g., multiplex immunofluorescence, spatial transcriptomics, spatial proteomics). Familiarity with analysis tools commonly used in
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to the Dillon Lab’s multidisciplinary research program evaluating the sustainability of animal-source foods. The position combines spatial analysis, livestock systems modeling, and environmental assessment
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functional genomics, supported by extramural funding. Develop novel technologies and/or apply advanced spatial analysis to study tissue microenvironments in health and disease. Engage in undergraduate
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, xenograft models, brain tumor biology, confocal imaging, immunofluorescence and/or FISH and/or computational analysis of scRNAseq/RNAseq/spatial transcriptomics Background in brain tumor biology Knowledge
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transcriptional regulation from multi-omics data; computational method development for single-cell epigenomic sequencing and image-based spatial-omics data analysis; computational and experimental studies
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sequencing and spatial transcriptomic data analysis* Strong track record of research as evidenced by publications in referred journals* Strong written and oral communication skills as evidenced by data
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methods to integrate transcriptional and cellular dynamics. Analyze large-scale transcriptomic and spatial dynamics datasets. Work in close collaboration with the team's biologists to test predictions from