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tSNE/UMAP clustering and trajectory inference to uncover novel immune cell states and mechanisms. Develops and optimizes new experimental protocols. Summarizes findings and contribute to manuscript
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immune assays. The research will focus on developing and optimizing novel gene modified T-cells against solid tumors. The postdoctoral associate PhD will work directly with the PI. Job Duties Conducts pre
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implements bioinformatic pipelines for the analysis of long-read whole-genome sequencing data from various human tissues. Applies and optimizes existing tools for the identification and characterization
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thrombosis, leveraging both traditional statistical approaches and cutting-edge machine learning algorithms. Optimizes feature selection and model performance through rigorous validation and cross-validation
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of the laboratory supplies, and maintaining IACUC animal and biosafety protocols. Helps optimize/establish molecular, multi-omic, and tissue staining protocols, including but not limited to western blot, RT-qPCR