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platforms. Coordination of biological sample pipelines (kidney biopsy, serum, urine) for comprehensive biomarker profiling. Utilization of machine learning and image processing for advanced tissue analysis
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therapeutic targets, and advance genetically informed drug repurposing. Our laboratory is supported by multiple NIH grants and internal funding and offers an outstanding collaborative environment with
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approaches through the collaborative development, production, and characterization of AAV vectors for experimental applications. The successful candidate will work as an integral member of a team focused on
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architectures that combine knowledge-grounded reasoning with flexible machine learning Tools that reduce manual burden while preserving traceability and clinical interpretability This position offers the
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architectures that combine knowledge-grounded reasoning with flexible machine learning Tools that reduce manual burden while preserving traceability and clinical interpretability This position offers the
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have a Ph.D. degree or equivalent in biomedical sciences. The start date is flexible. The Hashino lab is a highly collaborative group of scientists with diverse research backgrounds ranging from
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identification of new biomarkers. Candidates should demonstrate strong organizational, analytical, and communication skills, as well as the ability to work effectively in a collaborative research environment
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, teaching, and community engagement efforts contribute to robust learning and working environments for all students, staff, and faculty. We invite individuals who will join us in our mission to improve
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immune responses to co-infections and tumors. The candidate will work with Dr. Snell and her team in a dynamic and collaborative lab environment in the Department of Microbiology and Immunology at
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, and development of an independent research program. Postdoctoral fellows will be expected to lead research projects, contribute substantially to manuscripts and collaborative studies, present their