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acquired from additional platforms such as spatial transcriptomics and proteomics (multi-omics) platforms. As a key technical consultant for collaborations with principal investigators and/or lab personnel
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approaches. Experience with cardiovascular physiology or cardiovascular disease models. Background in molecular biology techniques such as PCR, qPCR, Western blotting, transcriptomic analyses, or related
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associated risks. This will include analysing B-cell receptor (BCR) transcriptomics data from VITT cases and control groups, performing transcriptomic analyses to understand post-vaccination immune responses
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, structural-variant, transcriptomic, and other high-dimensional biological data. ● Integrate genomic and molecular evidence with clinical and longitudinal data when scientifically appropriate. ● Evaluate
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 15 minutes ago
imaging or omics datasets (proteomics, metabolomics, lipidomics, spatial transcriptomics) * Cellular metabolism and stress biology * Biochemistry and protein analysis techniques * Immunology Minimum
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capabilities to a variety of research platforms, including genomics, proteomic, transcriptomic, analysing microscopy, imaging, and clinical data, and developing the tools and pipelines that help our researchers
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experience and a proven track record in EBV and emerging infectious disease projects. Required technical competencies include multi‑omics integrative analysis across genomics, transcriptomics, proteomics and
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longitudinal single-cell and spatial atlas of human kidney adaptation, combining single-cell RNA-seq, spatial transcriptomics, and single-cell ATAC-seq with deeply phenotyped clinical cohorts You will help
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limited to, large language models and foundation models, single cell analysis, spatial transcriptomics, multi-omics analysis, cancer research, intelligent healthcare, and precision medicine. Required
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) - Perform single-cell and spatial multi-omics analyses at scale - Integrate genetics with longitudinal transcriptome, clinical, biosensor, trajectories - Contribute to discovery of disease mechanisms and