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, genomics, or computational analysis of high-dimensional datasets. Experience with one or more of the following: Flow cytometry Single-cell sequencing Spatial transcriptomics Multiplex imaging Bioinformatics
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Bayesian meta-analyses. This position also provides opportunities to develop innovative statistical methods related to clinical trial design, variable selection in high-dimensional data, prediction
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orbitrap high resolution mass spectrometry. Other duties will depend on the Scholar’s prior experience but may include sample analyses, data analysis, or supervising and mentoring students. Work Performed
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Command-line computing High-performance computing environments Candidates with strong computational backgrounds who are interested in developing wet-lab expertise are strongly encouraged to apply. Career
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(publications). Ability to work independently; interpret, present, and discuss experimental data. Excellent communications skills. Other Requirements: This position is onsite. The work is performed on-site
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the mechanisms of, and interventions for, immuno-senescence and aging in lung transplantation using high-throughput multi-‘omic approaches, primary cell culture systems, and animal models of transplantation. Ph.D
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creativity, rigorous scholarship, and collaboration. You'll have opportunities to develop new skills, contribute to high-impact publications, and expand your professional growth while making meaningful
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projects aiming to dissect the role of lipid metabolism in environment-induced cardiorespiratory diseases. The main duty included performing sample analysis using HPLC and HPLC-MS-MS, conducting data
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or Python Experience working in high-performance computing environments Familiarity with version control systems such as Git or GitHub Demonstrated scientific writing and publication experience Interest in
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position is ideal for a motivated scientist who wants to develop independent research questions, generate high-quality mechanistic and translational data, contribute to manuscripts and grants, and work