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Field
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groups from Stanford and beyond working on complementary approaches to T cell recognition. Our group provides an intellectually rich environment, with scientists applying genetics, proteomics and machine
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to the organism, including iPSC-derived cardiomyocytes, organoids, and animal models. This includes molecular biology (RNAseq and proteomics), biochemistry, measuring cardiac function (echocardiography), pressure
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-class core facilities in genomics, proteomics, advanced microscopy, bioinformatics, and aquatic animal husbandry. The Stowers Institute provides long-term institutional support for ambitious, high-risk
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samples from clinical trials, proteomic/metabolomic/lipidomic research, pharmacometric data analysis, and medicine quality research. The department is today one of the world’s leading laboratories
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thromboinflammation, using cutting-edge approaches such as confocal intravital microscopy, CRISPR-based gene editing, proteomics, and mouse models of human disease. Job Description Primary Duties & Responsibilities
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techniques, including DNA, RNA and protein extraction. (up to a maximum of 0.5 points). Analysis of biomarkers and omics data. Experience in the study of biomarkers using omics approaches, including proteomics
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, transcriptomic, and proteomic datasets to uncover biological mechanisms and generate novel research insights. The successful candidate will apply bioinformatics and statistical approaches to analyze high
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
properties from human samples; and spatial transcriptomics/proteomics and morphological analysis of human lung tissue. Minimum Education and Experience Requirements PhD in Medicine or Respiratory Medicine and
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
and/or mouse model systems. Experience with confocal microscopy and live-cell imaging techniques, including FRAP and FRET. Experience with genomics, transcriptomics, proteomics, or other high-throughput
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publications. Experience working with large-scale biological datasets, including genomic, transcriptomic, proteomic, metabolomic, lipidomic, epigenomic, interactomic, structural, glycomic, or single-cell multi