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engineered animal models, single-cell profiling, and advanced image processing and analysis. In addition, numerous institutional shared resources and core facilities support the laboratory by providing
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who wish to pursue research specifically in the following areas: (1) Mouse embryo morphogenesis; (2) Mouse genetics and gene regulation; (3) Single cell RNA-sequencing with bioinformatic analysis; (4
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algorithms, NLP models, and LLMs to analyze complex data. Designs and implements novel data science methodologies for predictive modeling, causal inference, and probabilistic analysis in clinical and
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to decipher the role of sex hormones in host-microbiome interactions in the human oral mucosa. The project revolves around tissue modeling on host-pathogens interactions, multi-omics data analysis, and
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executing experiments, data analysis, laboratory record keeping, and oral and written presentation of experimental results. The research associate will be expected to work collaboratively with other staff
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, and large language models (LLMs), for the analysis of high-throughput multi-omics datasets (especially single-cell and spatial omics) and large textual corpora (e.g., scientific literature). Our
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. Work directly with collaborators studying aged T cells. Minimum Education and/or Training: PhD. Special Skills, Knowledge, and Abilities: Mouse handling skills. Flow cytometry analysis of immune cells
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-oncology, focusing on the role of myeloid-derived suppressor cells in solid cancers. The successful candidate will have experience in isolation and analysis of myeloid cell functions, strong hands-on skills
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://pritykinlab.princeton.edu ) develops computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a focus on multi-modal single-cell, spatial and genome editing
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highly interdisciplinary, integrating big data analysis, state-of-the-art machine learning models, mathematical modeling, and systems biology to elucidate the mechanisms of drug interactions in complex