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translational value. Dr. Hopp’s lab utilizes state of the art models and technologies which include multiomic approaches (scRNAseq, spatial RNAseq, spectral flow cytometry, metabolomics etc.) to understand each
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model organisms in their work and are pushing into emerging model and non-model organisms that are proving uniquely valuable in particular studies. To learn more about our department, https
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), and network analyses Mathematical or statistical modeling of temporal and spatial variability to predict microbial effects in native plant and agricultural systems Development of ecological theory
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Job Purpose Working under the supervision of Prof Jon Cooper, the successful candidate will contribute to a project focusing on combining spatially offset and stand-off Raman spectroscopy systems
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, and emerging AI-supported methods for analysis and discovery. Build reproducible, scalable workflows for data transformation, modeling, and long-term archiving. Support version-controlled collaborative
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EPAR, please see: https://epar.evans.uw.edu/ The Postdoctoral Scholar will provide support on current contracts that involve constructing agricultural indicators and doing analyses associated with
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immunology. Potential projects include developing methods for spatially resolved protein detection in live tissues, advancing ex vivo lymphoid culture models, and testing drugs and immunotherapies in murine
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or Departmental Website: https://stanford.edu/group/tanglab/ (link is external) How to Submit Application Materials: Please apply through the following form: https://forms.gle/1vic3xFvaBt8qsRw7 (link is external
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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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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