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in human cellular immunology, T cell and Treg biology, genomics, functional genomics, fluorescence-activated cell sorting, and spatial imaging. Bioinformatics: develop or increase proficiency in R
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effective immunotherapeutic targets. Finally, we plan on continuing the path to clinical translation with further preclinical research (proteasome manipulation and optimization studies, bioinformatics
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biology, bioinformatics, genetics, AI, machine learning, computer science, or a related field. Demonstrated experience analyzing single-cell and/or spatial genomics datasets is a plus but not necessary
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, molecular biology, and in vivo models. Analyze and interpret data, integrating experimental and computational findings. Utilize bioinformatics tools and techniques to analyze high-throughput sequencing data
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using cancer cell lines. A combination of bioinformatics and wet-lab approaches We welcome applicants with deep experience in molecular biology, neurobiology or cancer, RNA biology, and familiarity with
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background, with a PhD in computational biology, bioinformatics or related field including bioengineering, computer science, statistics, or mathematics. Strong knowledge in bioinformatics, machine learning
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large-language model applications in healthcare systems, systematically identifying ineffective clinical processes, bioinformatics analyses of population health, as well as more conventional outcomes
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. The project provides a unique opportunity to use clinically relevant animal models, transgenic mice, in vitro and ex vivo cultures, live cell and tissue imaging, single cell technologies, and bioinformatic
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techniques, and bioinformatics analysis is welcomed. The candidate is expected to work independently, as part of a team, and collaboratively with other researchers. An individual who demonstrates self