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will focus on the acoel worm Hofstenia miamia, the laboratory model system studied in the Srivastava Lab. The research will combine lineage tracing, gene expression studies, chromatin profiling to ask
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Desirable Skills: Experience analyzing and integrating multi-omics datasets, including single-cell RNA-seq, bulk RNA-seq, spatial transcriptomics, proteomics, secretome/exosome profiling, and functional assay
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Institute. CHARACTERISTIC DUTIES ● Analyze large scRNA-Seq datasets to profile transcriptomes from brain organoid models and neuronal cell populations, and interpret results to derive important
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focused on using spatial profiling and machine learning of human specimens in combination with functional experiments in animal models to understand cancer initiation, progression, and metastasis. We
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including PCR, cloning, and genotyping Perform molecular profiling in a cell-type-specific manner Supervise undergraduate trainees and contribute to an open, collaborative lab culture Document and present
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on understanding the earliest stages of high-grade serous ovarian cancer (HGSOC) by integrating spatial multi-omic profiling with computational analysis to define how precancerous lesions evolve into invasive
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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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including PCR, cloning, and genotyping Perform molecular profiling in a cell-type-specific manner Supervise undergraduate trainees and contribute to an open, collaborative lab culture Document and present
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Desirable Skills: Experience analyzing and integrating multi-omics datasets, including single-cell RNA-seq, bulk RNA-seq, spatial transcriptomics, proteomics, secretome/exosome profiling, and functional assay
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consultation, project development and support, and, where required, collaboration on research outputs (e.g., peer-reviewed papers) (30%); 3) develop their independent research profile and collaborations with