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, computational biology, genomics, or a related quantitative field. You will have strong programming skills (Python, R, Linux) and experience analysing large-scale sequencing datasets, ideally RNA-sequencing data
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culture, DNA extraction, MinION sequencing, analysis of strain viability and fertility) -Scientific publication writing. -Implementation of new approaches in evolutionary genomics. -Implementation
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biology, genomics, and/or computational biology For bench-focused candidates: strong background in molecular biology and nucleic acid work and experience with sequencing library preparation is highly
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microbial genome sequencing, metagenomics, metabolomics, transcriptomics, single-cell or spatial profiling, and computational analysis. These technologies will be used primarily to identify microbial
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cell biology and next generation sequencing. Experience in droplet-microfluidics, including use of commercial devices such as the 10X Genomics platform is beneficial, but not absolutely crucial. For two
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, Connecticut. The Lee laboratory is a human/cancer immunology research group that builds and applies new functional genomic techniques to profile the antigen specificities of human T cells within patient tumor
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-read whole-genome sequencing, (single-cell) RNA-seq, and (single-cell) ATAC-seq with publicly available developmental and tumor datasets to generate new biological insights. These discoveries will
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-cell models with comparative genomics, genome editing, and neuroscience to connect evolutionary sequence changes to the functions of the brain and placenta. Our goal is to understand how genome evolution
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required: Functional genomics and pooled screening technologies CRISPR knockout, CRISPRa/i, or base-editing platforms NGS library preparation and sequencing methods, including: ATAC-seq CUT&RUN CUT&Tag RNA
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, and PCR techniques. Proven experience using bioinformatic pipelines to analyze and visualize complex biological/genomic datasets. Demonstrated background in grant writing (e.g., NIH, NSF, private