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experimental platform for spatial multi-omic analysis of biological tissues. Our lab builds biological measurement infrastructure—engineering systems that standardize how information is extracted from complex
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will have access to state-of-the-art irradiation platforms, including FLASH/UHDR-RT capabilities, advanced imaging, spatial transcriptomics, radiomics, and digital histology resources. Postdoctoral
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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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review publications. Develop and implement simulation models to predict yields from secondary data sources and established on-farm trials in Africa. Conduct spatial analysis to predict yield at scales
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and AI-native physical layer design Optical reconfigurable intelligent surfaces Spatial mode multiplexing and orbital angular momentum The candidates will be considered until the position is filled
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of spatial patterns, the transition between stability and instability, and the first steps of transition towards turbulence that appear in several disciplines across science, technology, engineering
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of metabolic states in retinal ganglion cells; spatial transcriptomic and correlated metabolic analysis of retinal ganglion cells; treatment of retinal ganglion cells in models of degeneration; data collection
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
motivated Postdoc to study the tumor microenvironment of genitourinary malignancies, using the latest in single-cell transcriptomic, spatial, and CRISPR technologies. We will provide salary support and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
motivated Postdoc to study the tumor microenvironment of genitourinary malignancies, using the latest in single-cell transcriptomic, spatial, and CRISPR technologies. We will provide salary support and
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at the intersection of systems neuroscience and computational modeling. Our lab is broadly interested in Bayesian inference, perception, multisensory integration, spatial navigation, sensorimotor loops, embodied