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for spatial proteomics and multiplexed imaging datasets. Conduct CyTOF and FCS data analysis, including data preprocessing, normalization, clustering, and visualization. Analyze medical record data, integrating
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editing, mouse modeling, iPSC disease modelling, cell sorting, live cell imaging, spatial and single cell omics modalities, and advanced image processing and analysis, amongst a variety of other specific
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
The Histology Specialist will become familiar with all aspects of working in the Pathology Services Core. They will perform routine and higher level histopathology and spatial biology tasks. Standard histology
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and shipping for multiomic and spatial transcriptomic analysis. Validation of targets identified will be performed using bespoke organoid biology approaches on primary tumour and genetically engineered
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required to work on campus 4 days a week. RESPONSIBILITIES 85% Programming and Statistical Analysis Write, implement, and document statistical code to test hypotheses. Perform variable coding and
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of larval zebrafish. Data analysis: analyze whole‑brain calcium imaging recordings. Spatially resolved molecular methods: apply expansion microscopy (ExM) adapted for spatial transcriptomics to identify
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, and spatial organization, crucial especially in early developmental stages but relevant throughout life. Drawing from cellular and molecular biology, it delves into embryology, morphology, genetics
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interpersonal and communications skills. Qualifications Mandatory: PhD in related field Desirable: Experience in spatial analysis, proteomics. Please Note: Appointment to this position is subject to passing a
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inference). Apply social network, demographic, and spatial analysis to understand patterns in emergency care utilization and outcomes. Contribute to manuscripts, grant applications, and conference
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
: Benchmarking existing and developing novel computational approaches for inference of microRNA activities from single-cell/nucleus and spatial omics (NGS, MassSpec). Interrogation of GWAS data for identifying