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., proteomics, spatial transcriptomics, genomics, radiology). Postdoctoral applicants should have Ph.D., a solid publication record and strong professional references. The ideal candidate should have a
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assessment in urban environments. Proficiency in hydrological modeling software (SWMM, HEC-RAS, or equivalent). Experience with GIS tools (ArcGIS, QGIS) for spatial analysis and mapping of water flows and risk
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agricultural transformation and small-scale producers. Priority skills are proficiency with Stata, R and spatial mapping, and familiarity with the LSMS-ISA and other agricultural and spatial data in SSA and SA
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Köhler Lab, Max Perutz Labs, Vienna BioCenter Rethinking cellular boundaries Cellular boundaries are not passive—they are interfaces that convert spatial separation into function. Membranes, nuclear
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contributing to specifically the area of handling spatial data to assess the distribution of several soil properties and fungal communities using samples collected from multiple habitats and land use types at a
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model with a farm model Run scenario analysis to identify management practices with the largest mitigation potential, both spatially and temporally Coordinate and contribute to dissemination
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cultured human and rodent cardiomyocytes, engineered heart tissues, and animal models of heart development and disease. Specifically, you will engage in basic science and applied research to explore
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datasets. Your focus will be on implementing and training generative models to decompose cylindrical projections. You will solve and refine the structures from the resulting decomposed data. You will map
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diversity and dynamics of metabolic states in retinal ganglion cells; spatial transcriptomic and correlated metabolic analysis of retinal ganglion cells; treatment of retinal ganglion cells in models
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have expertise in working with animal disease models, single-cell and spatial RNA sequencing technology, and a solid understanding of the CNS immune landscape. Additionally, applicants should have at