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in the analysis and interpretation of single-cell multi-omic data. This role will contribute to cutting-edge research by integrating statistical and computational approaches to address complex
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). Maintain rigorous experimental documentation, data management practices, and reproducible analysis pipelines. Present results at lab meetings, departmental seminars, and scientific conferences; contribute
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: training the graduate students with these hands-on experiences and data analysis skills. This will strengthen the lab’s research output as well as the department’s mission of fostering high-quality training
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. Actively participates and leads data analysis and the preparation of manuscripts, reports, and presentations. Assists the PI with the preparation of grant proposals. Assists with IRB submissions of ongoing
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Position Information Position Information EEO Statement Working Title Postdoctoral Research Associate - Human Dimensions Department School of Natural Resources-0844 Requisition Number F_260088
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the HARP Student Fellows program and through leading focus groups. Primary Responsibilities ● Lead the experimental design, data collection, and data analysis of initial studies assessing the impacts
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Materials A single PDF or Word document containing a resume, letter of interest, and a list of the names and contact information for three (3) professional references is required to apply. Important
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blotting and qPCR. • Immunohistochemistry. • Single-cell sequencing and ATAC-seq. • Statistical analysis of experimental data. Candidates with previous experience in animal models of pulmonary
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-generation sequencing data analysis, including RNA-seq or single-cell RNA-seq. Proficiency in at least one scripting or programming language used in genomics (R, Python, or Bash/Unix). Experience with primary
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to define and evaluate AI biomarker models. You should hold a relevant technical PhD/DPhil (or near completion) in medical video analysis or computer vision with a video focus and ideally have prior