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experiment codebases (prefer Python). Apply causal inference and discovery frameworks to clinical questions. Translate proposed methods and frameworks into real-world clinical workflows. Contribute to grant
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. Substantial experience with in-vivo extracellular electrophysiology in freely behaving rats. Fluency in related data analysis (e.g., Python, MATLAB). Preferred: Expertise in one or more of the following areas
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optical systems and the use of lasers. Proficiency in data processing software e.g., Python, Matlab. Exhibits excellent professionalism and work ethics, initiative and self-motivation. Strong ability
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degrees, list of publications, research experience, and expertise), (2) Letter of Application (cover letter), (3) contact information of at least two references. Applications should be submitted through