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Field
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knowledge of basic bioinformatics analysis (e.g., RNA-seq analysis, public dataset mining, pathway analysis) is preferred. A strong collaborative mindset. This is a one-year postdoctoral appointment, with
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: · Perform collaborative research with multiple faculty members at ARDMRI on projects involving genomics data analysis using single cell RNA-seq, CHIP-seq/ATAC-seq, spatial transcriptomics, HiC/HiCHIP, RIBO
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microbiology of bacterial pathogens, and in tissue culture (macrophages or epithelial cells), relevant experience in confocal imaging, or scRNA-seq/RNA-seq. Further particulars are included in the job
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supportive, high-performing School of BioSciences environment. What you will deliver: Lead computational analysis and integration of single-cell RNA-seq and spatial transcriptomics datasets on endometrium
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: Lead computational analysis and integration of single-cell RNA-seq and spatial transcriptomics datasets on endometrium. Develop reproducible, version-controlled pipelines and notebooks in R and/or Python
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USDA-ARS Molecular Biology Postdoctoral Fellowship in the Natural Products Utilization Research Unit
interactions. These directives require a multifaceted approach involving physiological, biochemical, and molecular experiments and the use of numerous techniques such as RNA-seq, data mining of DNA and protein
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). Coordinate external core services and pipelines for single-cell RNA-seq (and, where applicable, spatial profiling), including sample preparation, submission logistics, and data organization. Perform first-pass
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(and potentially proteomic) bioinformatics, small input RNA-seq, and high-level imaging, as well as research background in related studies. Junior applicants, such as recent Ph.D. graduates with 0 or 1
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Comprehensive multi-omics datasets including genomics, transcriptomics, epigenomics, CUT&Tag, single-cell RNA-seq, multiome and spatial transcriptomics Functional genomics platforms using CRISPR technologies
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molecular analyses. Perform bioinformatics analyses, with a focus on single-cell RNA-seq and/or spatial transcriptomics, to uncover molecular insights from complex datasets. Lead independent research projects