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to data-driven research projects focused on glaucoma, diabetes or nAMD using large-scale clinical and imaging datasets. Develop, validate, and implement machine learning models and statistical tools
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for school mental health. Additional responsibilities include providing local support for related mental health programs and projects carried out through the lab. These include but are not limited
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design of innovative analytical and computational techniques to analyze,integrate and model multimodal data for the onset and progression of AMD . In doing so,the successful postdoctoral fellow will
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fellow to work on a newly funded project investigating the molecular mechanisms of cardiac arrhythmias in the setting of metabolic disorders. We utilize heterologous and native expression systems including
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. This work will involve the design of innovative techniques to analyze and model novel, high-dimensional and/or multimodal data in biobehavioral disorders and high-profile social problems such as suicide and
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are designed to prepare individuals for a research-focused career in academia or industry. The candidate will work with Dr. Kota Takahashi to conduct collaborative and interdisciplinary projects that bridge