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nanoparticle development and delivery. · Strong data analysis, communication, and scientific writing skills. Knowledge, Skills and Abilities: · Deep understanding of molecular biology, gene
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project at the intersection of RNA biology, cancer biology, and virology. Experience in molecular biology, data analysis, and tissue culture is required. The Wang laboratory is currently studying The role
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. By combining methods from human-computer interaction, clinical informatics, and artificial intelligence, we aim to create systems that enhance reasoning, surface relevant information at the bedside
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mix of bench science and analysis of spatial transcriptomic and bulk RNA-seq data. Key Responsibilities: · Utilize a variety of laboratory experiments and tabulate and analyze the results
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personalized medicine. By integrating human cohorts, single-cell multi-omics technologies, and expertise in systems and computational biology, we generate high-profile research that bridges big data with
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Informatics (BIOS), faculty, postdoctoral fellows, and students in the department apply analytic methods, statistical reasoning and information management techniques to the design and analysis of studies in
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biology in models of leukemia. Responsible for development and conduct of project(s) within the scope of funded and future projects. Maintain accurate lab notebook and primary data. Work independently with
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biology • Proven experience and familiarity with metabolism • Experience in analyzing "omics" data sets, for example, metabolomics or RNAseq Knowledge, Skills and Abilities: • Ability to maintain excellent
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, including design of experimental setup, data generation, data interpretation, and manuscript writing, with the following key responsibilities: Wet lab responsibilities : Conducting molecular biology
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trainees. Our research focuses on aging, anti-tumor immunity, and vesicle trafficking using established models, with strong translational relevance. We welcome candidates with a background in cell biology or