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knowledge-grounded reasoning with flexible machine learning Tools that reduce manual burden while preserving traceability and clinical interpretability This position offers the opportunity to publish novel
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advance genetically informed drug repurposing. Our laboratory is supported by multiple NIH grants and internal funding and offers an outstanding collaborative environment with investigators across Indiana
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(H2S)/reactive sulfur species (RSS) homeostasis. This project benefits strongly from long-standing pathogenesis collaborators at the Vanderbilt University Medical Center. The position is supported by
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cardiac development, developmental programming, metabolic models, or next-generation sequencing is preferred, and candidates from adjacent fields with a clear interest in learning embryology are encouraged
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of this position is to work on active projects to generate data for publications and to also generate data for external funding. The prospective candidate should be willing to work in a collaborative environment
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on active projects to generate data for publications and to also generate data for external funding. The prospective candidate should be willing to work in a collaborative environment, assisting graduate
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Institute of Mental Health (NIMH) and offers an outstanding environment for developing innovative quantitative methods, establishing independent research directions, and collaborating with investigators
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-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 Indiana University School
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biomarkers. Candidates should demonstrate strong organizational, analytical, and communication skills, as well as the ability to work effectively in a collaborative research environment. Prior experience with
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learning in context. Our research examines mechanisms of human learning, the conceptual structure of human knowledge, how people communicate expertise, and effective strategies when trying to build new