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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 16 days ago
of integration of spatial transcriptomics. At the bench, the postdoc will perform spectral flow cytometry and other immune-based assays on murine and fresh tissue from patients with cancer. The successful
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position within a Research Infrastructure? No Offer Description Do you want to contribute to top quality medical research? Spatially resolved genomics unlocks unprecedented insight into tissue architecture
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oriented towards sustainable mobility (superblocks, cycle lanes, low emission zones and other proximity policies). The analysis will combine electoral data at a very disaggregated scale with spatial
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Is the Job related to staff position within a Research Infrastructure? No Offer Description The Role Applications are invited for a Postdoctoral Research Associate in the field of agent-based modelling
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related to staff position within a Research Infrastructure? No Offer Description POSTDOC IN DIGITAL PATHOLOGY Therapy-response prediction using spatial biology THE GROUP: The candidate will be part of
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Google Earth Engin, R, Python, and STAN (e.g., deep learning, Bayesian regression models, spatial analyses), and running analyses on a high-performance computing cluster. Demonstrated record of publishing
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America. Preferred qualifications: Experience in spatial epidemiology and mechanistic/statistical modeling of vector-borne diseases. Familiarity with advanced statistical modeling, mathematical modeling
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. The position will be available for a 3-year period. You will be part of a research environment focusing on applying digital solutions to map spatial and temporal variability of crop growth as well as evaluate
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. The Ravnskjaer lab is headed by Assoc. Prof. Kim Ravnskjaer and focuses on cellular crosstalk in the regulation of liver function in health and disease. For this we apply single cell- and spatially resolved
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of epigenetic regulators in regulating therapy resistance. Utilize molecular, cellular, and biochemical techniques including CRISPR, scRNA-seq and spatial transcriptomics, flow cytometry, and 3D tumor modeling