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samples. The lab seeks to uncover new therapeutic targets in cancer by bridging single-cell sequencing with high-throughput immune/cancer cell co-culture screens (PMID: 33483338, PMID: 40799546, PMID
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development Identify, evaluate, and implement cutting-edge methodologies (e.g., single-cell sequencing, spatial transcriptomics, CRISPR screens, PDX/organoid models) relevant to pediatric cancer biology
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preparation protocols for NGS and Oxford Nanopore sequencing, organising, recording and overseeing the handling of biological samples, performing preliminary analysis and interpretation of sequencing data
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. Experience analysing large biological datasets, including RNA sequencing, metabolomics, proteomics or whole-genome sequencing data, is essential, along with strong quantitative and computational skills
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cytometry, and microscopy are encouraged to apply. Additionally, previous experience analyzing transcriptomic data is an advantage, as the dry lab (e.g., single cell RNA-sequencing dataset analysis) informs
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. Analyzes gene and amino acid sequences of bacterial proteins. Deletes genes in streptococcal bacteria. Assists with writing grant proposals. Performs bacterial cell culture, CRISPR-Cas9, intracellular
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diseases. The work uses tetramer and dextramer based technologies as well as DNA-barcode multimers for T cell identification. Single cell sorting and single cell sequencing are also employed in the research
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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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-genome sequencing. You will possess strong analytical, problem-solving, and data interpretation skills, with the ability to work both independently and collaboratively within a multidisciplinary research
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the cellular crosstalk and basic molecular mechanisms during lung repair and disease. We utilize in vivo mouse genetics, live -imaging, 3D organoids, functional screening, and next generation sequencing