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transcriptomics, methylation, proteomics, metabolomics, or digital pathology data. Experience with clinical trial datasets, electronic health record data, cancer registry data, or other real-world clinical datasets
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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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Molecular Physiology is an open, collaborative, and stimulating research environment with broad expertise including cellular biophysics, specialized imaging, computational modeling, aging, and proteomics
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data. • Work with metabolomics, proteomics, and dietary data. • Support the development of clinical trial intervention materials, including group education programming. • Implement natural
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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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interactions. Applicants must also have some experience in working with omics data, with previous experience in proximity-labelling-based proteomics being a strong merit. Candidates should be passionate about