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. Experience in high-throughput sequencing data analysis and cluster/cloud computing. Proficiency in variant calling, single-cell DNA and/or RNA analysis, and machine/deep learning (preferred but not required
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to collaborate with industry (biotech/pharma) and to get involved in academic start-up/spin-off companies. Training program in project management, scientific writing, visual communication, entrepreneurship
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to oligonucleotide delivery, such as gene expression analysis (RT-qPCR) or oligonucleotide detection methods (e.g., dPCR, SplintR). Preferred but not required: Experience with flow cytometry for tissue/cell uptake
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. However, progress is constrained by the scarcity of high-quality, well-characterized in vitro T-cell immunogenicity data. In this project, we will leverage expertise and technology in peptide T-cell