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interactions and for forming charge-transfer excited states with spatially separated frontier orbitals. The project will combine organic synthesis, COF materials chemistry, structural characterization
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, electrical polarisation and, then evaluate cell-matrix interactions using live-cell imaging, molecular assays and, spatial transcriptomic approaches to identify key mechanisms linking matrix mechanics
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from multiple departments. The aim is to develop and apply multimodal 3D imaging and analysis frameworks to quantify tissue architecture and protein expression in paraffin embedded tissue samples
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develop and apply multimodal 3D imaging and analysis frameworks to quantify tissue architecture and protein expression in paraffin embedded tissue samples at scale. By integrating AI-drive image analysis
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, spatial and hydrologic modeling, statistical analysis, high-impact technical publishing, and collaborative proposal development. In support of NRRI’s mission to deliver applied science and sustainable
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Computational Sciences or similar. You have strong expertise on analyses of biology-related large datasets. Expertise in single-cell and spatial data analysis, spatial statistics and annotation is an advantage
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safety, vulnerable road users, and rural and Tribal transportation contexts. The postdoctoral researcher will integrate research involving human participants, behavioral analysis, and computational methods
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circuits, neuronal tracing, viral or genetic manipulation of neurons, in vivo models, imaging, or computational analysis of single-cell or spatial datasets. Candidates from neuroscience and neuro-immunology
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sequencing, imaging and other emerging technologies (e.g. imaging mass cytometry, spatial transcriptomics) – including aspects of informatics and advanced data analysis. You will be responsible
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). This would be expected to include independently performing experiments utilizing animal models and the downstream isolation and analysis of immune cells using a variety of techniques including, but not limited