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and epigenetic manipulation of AML cells and massively parallel reporter assays to investigate gene regulation in leukemia. Computational analysis of these data will involve applying existing tools and
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with computational analysis of spatial transcriptomics or other high-dimensional datasets and strong data management skills are highly desirable. We are seeking an independent and collaborative scientist
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& Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under the supervision of a faculty mentor including (but not limited
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Airports Council International for many years. For additional information on life in Indy: https://faculty.medicine.iu.edu/relocation/. Job Summary Research Duties and Responsibilities Design, conduct, and
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interventions. Excellent command of advanced statistical methods, including longitudinal data analysis and complex multivariate analyses (e.g., structural equation modelling, SEM). Experience working
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. Subject description Automatic Control comprises the analysis and synthesis of models and model-based algorithms for control, estimation, and monitoring of complex dynamic systems. Project description
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-cell or spatial genomics, in vivo imaging, cellular/molecular immunology, or GPCR signaling. • Quantitative and data-analysis skills (e.g., R, Python) and experience with genomics or imaging pipelines
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of research hypotheses and data analysis. Write papers, grants, reports, and prepares presentations and lectures. 10%- Professional Development and Scientific Engagement Attend, participate, or present
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operation, feedstock pretreatment and characterization, analytical measurements by LC and GC; experimental design, statistical analysis, bioprocess simulation through kinetic modeling. Additional training in
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at least one of the following thematic areas (expertise in multiple is a plus, but not required): Multi-omics & Single-cell Analysis: Processing and interpretation of multi-omics and single-cell datasets