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, and hypothesis generation. Integrate transcriptomic, epigenomic, spatial transcriptomic, and other multi-omics datasets. Perform gene regulatory network, transcription factor, pathway, and cell-state
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, experimental design, and interpretation of complex datasets Additional Information: We are especially interested in scientists who are intellectually curious, technically rigorous, highly independent, and
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in machine learning, systems modeling, optimization, or analysis of complex biological and clinical data. Demonstrated proficiency in programming languages such as Python and/or R, with experience
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of in vivo CAR therapies that directly reprogram immune cells within the patient. These next-generation platforms have the potential to increase accessibility, reduce treatment complexity, and expand
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flow cytometry, cell sorting, mouse models, molecular biology techniques, and immune profiling assays. · Analyze and interpret complex datasets, including genomic, transcriptomic, and
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epigenetic mechanisms governing tissue remodeling · Nuclear receptor biology and gene regulatory networks · Drug discovery and development of small-molecule modulators of circadian signaling
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, population dynamics, or multicellular tissues. · Experience analyzing complex biological datasets using R, MATLAB, Python, or a comparable programming environment. · Experience integrating
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complex orthotopic immunocompetent mouse models to determine how targeted optical probes can be used in visualizing and treating cancers. We evaluate the capacity of this technology to induce immunogenic
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, pancreas pathology, and novel therapeutics, also in the context of the analysis of live pancreas tissue from organ donors obtained from the Network for Organ Donors with Diabetes (nPOD) , of which Dr