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develop cutting-edge AI technologies for patient care. One critical area in need of advancement is the integration of radiology images (such as MRI and CT scans) with pathology images, which are essential
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MRI protocols to accurately assess treatment outcomes in terms of treatment viability. This project aims to further advance this objective by integrating different medical imaging data types
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photoreceptors and hair cells, and potential treatments. We utilize mouse models and various approaches in molecular and cellular biology, biochemistry, omics, bioinformatics, electrophysiology, behavior, and
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for critical material extraction, refinement, and production. The postdoctoral researcher will join a dynamic and interdisciplinary team working on federally and industry funded projects aimed at advancing
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imaging using animal models. The candidate will receive training from the PI and/or other experienced lab members in all necessary techniques. The candidate will also receive mentorship for skill
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faculty in three Divisions, including Cancer Population Sciences, Biostatistics, and Health System Innovation & Research, we provide expertise and infrastructure to advance capacity for impact-driven
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working with genomics data sets. Prior experience working on high performance computing clusters. Prior experience with statistical and mathematical modeling and/or AI. Type Benefited Staff Special
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prevent retinal diseases throughout the lifespan. The successful candidate will be involved in designing and conducting research projects and will receive advanced training to further develop professional