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NIMSB Technology Platform Leaders:Data Science, Single-Cell & Spatial Omics, Proteomics/Metabolomics
of: - Data Science Technology Platform, focusing on computational methods for large-scale integration and analysis of multidimensional data; - Single-Cell and Spatial Omics Technology Platform, focusing
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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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More Jobs from This Employer https://main.hercjobs.org/jobs/22073898/research-associate-i-spatial-data Return to Search Results
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identification, and you will support onward analysis of these datasets. This is a full-time position working 37 hours per week on a fixed-term basis for 12 months due to funding. For more information on Biological
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trained artifical intelligance model for deep sea species identification, and you will support onward analysis of these datasets. For more information on Biological and Marine Sciences please visit our
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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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advancements in spatial bioinformatics. Assist with the epigenetic analysis performed within CIMP and MBH lab. What we offer Opportunity to become a leading-edge expert in spatial bioinformatic, being
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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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. Preferred Qualifications Demonstrated expertise in quantitative data analysis and statistical modeling. Experience working with large, complex, and multi-dimensional datasets. Experience with spatial analysis
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Midlands Graduate School Doctoral Training Partnership | Loughborough, England | United Kingdom | about 2 months ago
and ecological change. The research combines critical advanced quantitative spatial analysis with qualitative and participatory approaches to connect structural inequalities with lived experience