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for: Analysis of bulk and single cell RNA-sequencing, spatial transcriptomics, and proteomics datasets Integration of experimental model data with public and clinical datasets Statistical modeling and survival
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bioinformatics analysis pipelines for processing RNA-seq, single-cell RNA-seq, genomics and proteomics data. Develop novel algorithms and integrated data visualization applications when existing software packages
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RNA-seq, genomics and proteomics data. Develop novel algorithms and integrated data visualization applications when existing software packages are not available or are not adequate. 2.) Apply
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transcriptomics, proteomics, secretome/exosome profiling, and functional assay data. Experience with respiratory virology in vivo or in vitro Track record of innovative research in an academic or research setting
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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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for: Analysis of bulk and single cell RNA-sequencing, spatial transcriptomics, and proteomics datasets Integration of experimental model data with public and clinical datasets Statistical modeling and survival
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, differentiation, and function. · Utilize gene-editing and transfection approaches where appropriate to develop experimental cellular models. · Conduct imaging, transcriptomic, proteomic, and functional analyses
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. Basic Qualifications A Ph.D. is required. Previous research experience in molecular biology, biochemistry, chemical biology, transcriptomics, proteomics, and/or metabolomics is recommended. Additional
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Qualifications Qualifications: A Ph.D. in neurobiology, developmental biology or cell/molecular biology is required. Experience with methods ranging from RNA sequencing and proteomics to animal behavior is
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, epigenomics, transcriptomics, and proteomics) information. The postdoctoral fellow will develop and refine machine learning methods for analyzing histopathology, clinical, and multi-omics data, collaborate with