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Field
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of Veterinary Pathology seeks a highly motivated Postdoctoral Researcher to advance research through the integration of 3D organoid models and multi-omics data analysis. This position will leverage genomic
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for acquiring, managing, analyzing, modelling, and visualizing geographic information to understand spatial patterns, processes, and relationships. Lund University GIS Centre at the Department of Earth and
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research quality and scientific integrity. Essential Function Yes Percentage of Time 35 Job Duty Research Data Analysis and Scientific Computing. Analyze complex biological, environmental, genomic
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processing and statistical data analysis. Familiarity with flow modelling techniques (CFD) or machine learning for fluid flows. Aptitude for team work and excellent communication skills in spoken and written
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measurement techniques and PIV. Familiarity with optics, lasers, image processing and statistical data analysis. Familiarity with flow modelling techniques (CFD) or machine learning for fluid flows. Aptitude
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causal-inference analysis of high-frequency foot-traffic, consumer-spending, and satellite-derived environmental data; and contributing to manuscript preparation, presentations, and public-facing outputs
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causal-inference analysis of high-frequency foot-traffic, consumer-spending, and satellite-derived environmental data; and contributing to manuscript preparation, presentations, and public-facing outputs
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Design and build an interactive, open-access web platform for visualization and usage of multi-omics datasets Integrate newly generated data with in-house and publicly available datasets to interpret
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. Analyze and visualize experimental and genomic data and communicate findings directly with the PI and research team. Lead and contribute to manuscripts, including first-author publications, grant
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to the computational analysis of visual culture in the humanities. The postdoctoral researcher will work closely with the project PIs, Lauren Tilton and Taylor Arnold, to develop and implement educational resources