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Field
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will use a combination of scRNAseq, spatial transcriptomics, and highly-multiplexed imaging to understand how human macrophages respond to the early stages of cancer development. They will be a part of
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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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cohorts. Responsibilities include planning experiments and analysing data; handling of human tissue samples; immunohistochemistry and histopathology; RNA and protein biochemistry; spatial proteomics
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Engineering are seeking a postdoctoral fellow to lead a project focused on bioprinting lung tissue using airway and alveolar stem cells. This work aims to create spatially organized lung constructs to study
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and assembloid co-culture system to study disease. By integrating single-cell multiomics, spatial transcriptomics, long-read sequencing, and high-throughput functional imaging, we aim to identify
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establish and validate microfluidic co-culture systems using human glomerular cells and benchmark these platforms against human kidney multi-omic and spatial datasets. These systems will be further developed
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of the Mississippi embayment), surface water hydrology and modeling, model coupling, and spatial/temporal data analysis. The successful candidate will work with Dr. Brian Waldron and CAESER faculty/staff on projects
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tract, how immunity develops in early life, and how it goes awry in devastating inflammatory diseases such as necrotising enterocolitis and inflammatory bowel disease. Spatial ‘omics and single cell
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crust and mantle lithosphere. This covers the entire spectrum of topics ranging from geomechanics and rock physics to the rheology of crust and uppermost mantle, ranging over the entire spatial bandwidth
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Duties: Attend introductory training sessions organized by the project PI and Co-PI's. Integrate complex large datasets from open sources and SAS Viya, including spatial and temporal environmental