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, and spatial transcriptomics. Key responsibilities include: Developing AI/ML methods for image alignment across modalities Automated feature detection Predictive modeling of vascularization patterns
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reconstruction algorithms that incorporate multiply-beam coherent scattering imaging in a grazing incidence geometry to improve the spatial resolution to ultimately demonstrate the utility of the novel coherent
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a broad spectrum of research activities, utilizing state-of-the-art instrumentation at beamline 32-ID. The use of holotomography with PXM enables full-field imaging with spatial resolutions ranging
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in spatial analysis and data visualization Computer programming skills relevant for data manipulation and analysis Experience with creating and using complex data-driven analytical models using R
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ecosystem science, wetland ecology, terrestrial biogeochemistry, soil science, ecohydrology, or a related field Knowledge of wetland ecosystem science, including hydrological and biotic factors and processes
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ecology and should preferably have some experience working on interdisciplinary projects. Proficiency in oral communication and technical writing, as demonstrated by the candidate’s peer-reviewed