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plasma and iPSC-derived human disease models. You will investigate disease-related molecular signatures using metabolomics, lipidomics, proteomics and genomics, and combine these data using statistical and
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these processes requires AI and bioinformatics methods able to integrate heterogeneous, high-dimensional data. The ShadowEV-GBM project brings together spatial omics, metabolomics/lipidomics, molecular profiling
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approaches to investigate tumour heterogeneity in melanoma. The successful candidate will develop and optimize a comprehensive workflow that integrates spatial transcriptomics, proteomics, and lipidomics
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legal regulations, cooperating with the team responsible for endothelial function and microcirculation assessments, as well as biomarker, metabolomic, lipidomic and proteomic analyses, participating in
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well as biomarker, metabolomic, lipidomic and proteomic analyses, participating in the preparation of study results, analysis of clinical data, and preparation of periodic reports, project reports and scientific
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responsible for biomarker, metabolomic, lipidomic, proteomic and other laboratory analyses conducted within the project, participating in the development of research results, statistical analysis of clinical
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chemical screens, single cell and spatial transcriptomics, proteomics, lipidomics, genomics, optogenetics and histology. Among the key duties of this position are the following: Undertake bioinformatics
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
RNA sequencing data, from primary data processing through biological interpretation. Additional expertise in metabolomics, lipidomics, or other systems biology approaches is highly desirable
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
RNA sequencing data, from primary data processing through biological interpretation. Additional expertise in metabolomics, lipidomics, or other systems biology approaches is highly desirable
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), ALS, long Covid and other CNS diseases. · Apply multi-omic profiling (small and long RNA-seq, lipidomics) to define exosomal cargo signatures associated with different disease states. · Develop and