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, CRISPR-Cas9, single-cell RNA sequencing (scRNA-seq) and bulk RNA sequencing (RNA-seq), multispectral imaging, immunohistochemistry, Western blotting, tissue culture, genotyping, and qPCR. Under
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required. Candidates must have multiple years of experience analyzing metagenomic sequencing data using established bioinformatic tools and command-line workflows. Proficiency working in Linux-based
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, Spatial data analysis or GIS Whole-genome sequencing, phylogenetics, or phylodynamics Data management and reproducible analytical workflows Quantitative modeling and statistical inference. Applicants
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, in vitro establishment of cell lines etc.), and manage multiple data elements associated with the program. The coordinator will collect longitudinal data on patient treatment and outcomes during
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: Statistical programming and data analysis using R, Python, or Matlab, Spatial data analysis or GIS Whole-genome sequencing, phylogenetics, or phylodynamics Data management and reproducible analytical workflows
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microbiology studies, β-lactamase expression analyses, biofilm assays, whole-genome sequencing, and integration of microbiological and clinical data. The position offers unique opportunities to collaborate with
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deadlines and work collaboratively in an interdisciplinary laboratory setting. Desired Qualifications: Experience with next-generation sequencing (NGS) data, microbiome composition analysis, or within-host
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) developing an independent line of engineering education research aligned with the scholars interests and expertise. The postdoctoral scholar will work closely with the principal investigators, faculty
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additional duties as assigned. Additional Information: The applicant will drive specialized RNA sequencing and cellular activity projects from execution to completion, with the long-term goal of developing
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, or computational analysis of clinically annotated cancer datasets. Experience with multi-omics data integration, including DNA sequencing, bulk and single-cell RNA sequencing, spatial transcriptomics, methylation