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productive scientific results Preferred Qualifications Equipment Utilized High-performance computing; cloud computing; local workstations. Physical Demands and Work Environment Work will be performed in
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, Skills, and Abilities Skills in computational fluid dynamics, geometric morphometrics or 3D shape analysis, and kinematics. Preferred Qualifications Strong backgrounds in vertebrate and functional
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both 2D and 3D models, for experimental studies. The ideal candidate will demonstrate a strong record of accomplishment in a relevant area of biomedical research, evidenced by first-author peer-reviewed
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, optogenetic and electrical stimulation, neuromodulation and lesion-based validation, signal processing, computational network analysis, and dissemination of results. The postdoctoral associate will work with
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expression in vitro and in vivo. Develop and maintain advanced cell culture systems, including macrophage models and multicellular 2D/3D culture platforms. Perform co-culture experiments involving immune and
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intracranial EEG data from animals. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines using MATLAB, Python, or similar
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engineering skills—Python, Git, unit testing, experiment tracking—and fluency with containerization (Docker) and basic cloud workflows are expected, alongside excellent communication and cross-disciplinary
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, pharmacological and chemogenetic experiments in rodents to delineate mechanisms underlying drug abuse. Conduct conditioned place preference, and learning and memory tasks, intracerebral infusions, and
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systems, from the physical fabrication of flexible printed circuit boards (FPCBs) to the implementation of machine learning algorithms for real-time signal analysis. The postdoc will collaborate in a
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-based drug safety signal prioritization platform. Supporting grant preparation and contributing to grant aims. Collaborating with mentors in pharmacoepidemiology methods and adjacent clinical research