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high-risk individuals, and tailor treatments based on individual genomic differences. The post-doctoral fellow will work on large-scale genetic data analysis, genetic risk prediction, multi-omics, and
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on large-scale genetic data analysis, risk prediction, single-cell RNAseq, and implementation of methods for studying complex human diseases, such as glaucoma and retinal diseases. The candidate will have
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NOvA and DUNE, as well as in the combined oscillation analyses between NOvA and T2K. The Post Doctoral Scholar will take a leading role in data analysis, calibration, operations, and software development
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. Proficiency in R (or Python or Stata), including experience with data management, spatial analysis, geocomputation. Experience working with large, complex datasets, including Consumer Reference Datasets (CRDs
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disease and other endocrinology diseases under the guidance of a faculty mentor; participates in research activities; performs analysis of data and prepares results of research for publication; actively
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circuits in pain sensation. To address these questions, we employ mouse genetics, molecular biology, virology, genomics, imaging techniques, and behavioral analysis. We are looking for highly motivated
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high-risk individuals, and tailor treatments based on individual genomic differences. The post-doctoral fellow will work on large-scale genetic data analysis, genetic risk prediction, multi-omics, and
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Exploris Orbitrap Mass Spectrometer and Easy NanoLC. Develop and refine protocols for sample preparation, mass spectrometry analysis, and data processing. Collaborate on multi-author research papers
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/or intervention studies, and have extensive already-collected data available for secondary analysis. Responsibilities will generally include data analyses; preparation of manuscripts and conference