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The laboratory of Dr. Ya-Chi Ho, MD, PhD at the Department of Microbial Pathogenesis (https://medicine.yale.edu/lab/yachiho/ ) is looking for a highly motivated postgraduate student with a strong
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methodologies: flow cytometry, genome engineering (CRISPR, CRISPR-interference), high-throughput screening in cells, mammalian cell culture, Independence and the ability to work in a team, Motivation and
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The University of Texas Southwestern Medical Center (UT Southwestern Medical Center) | Dallas, Texas | United States | 2 months ago
translational cancer biology Applying genome-wide CRISPR screening, single-cell genomics, spatial transcriptomics, and clinically relevant mouse models to discover new therapeutic targets. As a physician
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(https://www.listonlab.uk/ ). Employment will be at the G7 Research Associate level at the University of Cambridge. The project is based on understanding gut-resident regulatory T cells. The project will
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sequencing of PCR products/plasmid vectors, CRISPR guide RNA generation, Western blotting, RNA and genomic DNA collection from mouse tissue for RNAseq and ATACseq experiments, mouse tissue embedding and
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approaches may include: mammalian cell culture; CRISPR based genetic manipulation; immunofluorescence microscopy; proximity labeling proteomics, and bulk and single cell RNA seq. For more information about the
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hepatocytes, CRISPR/Cas9 gene editing, and genetically distinct HBV clones to dissect the host and viral factors that determine infection and persistence. Recent work from the laboratory, published in Cell
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. Required skills: PhD in Virology · Cell culture · Viral vector production · Viral infection assays · Basic cloning techniques · Microscopy (widefield or confocal) techniques · Flow cytometry · CRISPR
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experience in other disciplines are encouraged to apply. The successful candidate will have the opportunity to co-author publications on team projects. For more information, please visit: https://www.duke
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. The successful candidate will help prioritize, validate, and develop therapeutic hypotheses generated from large cancer datasets, with opportunities to lead projects spanning CRISPR screening, drug-response