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) structure/function and defining how CAR structure impacts brain tumor response and resistance. The postdoctoral fellow will conduct experiments and assist with project planning and data interpretation, as
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cells in the brain. Although understudied, glial cells comprise more than half of our brains, and understanding how they contribute to brain function is a big question in the field. More specifically, our
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will help refine and validate computational models using large-scale, multi-cohort EEG data, applying advanced signal processing, deep learning, and bioinformatics approaches to: Brain aging phenotypes
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interdisciplinary and highly collaborative research in ovarian cancer to predict clinically relevant tumor features. The researcher will work on large and diverse molecular datasets, primarily consisting of bulk and
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large language models (LLMs) evaluation and improvement for reasoning, LLMs interpretability, uncertainty modeling. Responsibilities also include contributing to the ideation and design of new studies