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for diagnosing diseases and assessing treatment responses. This project aims to develop innovative tools that can predict patient outcomes across a wide range of diseases, including cancer and conditions related
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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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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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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