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Field
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., therapy response), and network-based analysis to identify biomarkers. Experience with one or more multi-omic data types (e.g. RNA-seq, ATAC-seq, spatial transcriptomics, single-cell data, etc…) and
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interactomics (protein-protein interactions), functional genomics ( CRISPRi/CRISPRa and Prime editing ) , transcriptomics, proteomics, radiomics, and metabolomics for disease biology and drug development
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transcriptomics. Bioinformatics expertise and computational infrastructure are available to enable integration of tissue-specific, spatial and mutant transcriptomic datasets. Principal supervisor is
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Johns Hopkins Medicine - Laboratory of Human Biomimetics | Saint Petersburg, Florida | United States | about 2 months ago
systemic immunology Flow cytometry, cytokine profiling, or single-cell transcriptomics Prior experience with organ-on-chip systems or other new approach methodologies is not required. We are particularly
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software development, FAIR data/open science, life sciences data systems, and analysis of ‘omics data (e.g., metabolomics, proteomics, genomics, transcriptomics, etc.). Required Documents : Please
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transcriptomics and functional genomics team (external). Assist with the development and optimization of laboratory and analytical workflows. · Contribute to grant applications, manuscripts, reports
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computational experience in transcriptomics, including the analysis of crosslinking and immunoprecipitation (CLIP), ribosome profiling and RNA proximity-ligation data (e.g. hiCLIP). We are looking for an
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combination with spatial transcriptomics; and 2) characterize the dimer-specific interacting proteins that mediate differential internalization and trafficking of the various PDGFR dimers in vitro
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preclinical intervention studies targeting oncogenic, inflammatory, immune, or epithelial-plasticity pathways. Interpreting single-cell sequencing, spatial transcriptomics, multiplex imaging, and related
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this project, we seek candidates with the following expertise: Documented experience in analyzing genomics, epigenomics, and/or transcriptomics datasets using R, Python, and shell. Experience in