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Field
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, Spatial data analysis or GIS Whole-genome sequencing, phylogenetics, or phylodynamics Data management and reproducible analytical workflows Quantitative modeling and statistical inference. Applicants
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process–structure relationships in additively manufactured materials. Work will also include analysis of thermal and thermo-mechanical behavior, plastic deformation, and defect formation, as
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; and spatialization tools. “Technical Networks and the Digitalization of Territory in Favelas” Project – Knowledge of Network and Flow Analysis, Territorial Planning, Human and Economic Geography
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
properties from human samples; and spatial transcriptomics/proteomics and morphological analysis of human lung tissue. Education and Experience: Preferred qualifications include: An understanding of pulmonary
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(Midavaine et al., Science, 2025). Building on this foundation, the lab combines mouse genetics, single-cell and spatial transcriptomics, in vivo calcium imaging, sensory behavioral assays, and molecular
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The post holder will undertake interdisciplinary research at the interface of environmental science, spatial data analysis, and climate communication. They will contribute to the collection, analysis and
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 17 days ago
, this Postdoctoral Program opportunity invites research focused on advancing imaging spectroscopy retrievals, multi-sensor integration, critical zone biogeochemistry scaling, and geomorphic analysis across tropical
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cell immunology, mucosal immunology, and cancer immunology using animal models and single-cell multiomics/spatial transcriptomics approaches. This postdoctoral researcher will combine wet-lab molecular
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, the consortium aims to contribute to the development of inclusive and effective climate adaptation solutions. As a postdoctoral researcher, you will be primarily responsible for conducting a comparative analysis
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, inferential and spatial analysis, as well as integrating machine learning techniques, and leading and drafting manuscripts. We will support and encourage the candidate’s independent research interests