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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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with a dissecting microscope under sterile conditions and in utero electroporation. The individual will perform studies to analyze cellular and molecular signaling using in vitro and animal models
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investigating how the sympathetic nervous system (SNS) and neuroendocrine signaling govern systemic metabolism, integrating insights from rodent physiology, molecular biology, and systems metabolism
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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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hematological neoplasms and aberrant cell signaling. Utilizing multi-omics, mouse models (GEMMs/PDXs), and human biospecimens, the incumbent will conduct independent research to uncover novel therapeutic targets
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analyzes research studies using intracranial EEG data from animals. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines using
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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
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. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines using MATLAB, Python, or similar platforms. Leads manuscript preparation
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novel EphB1/2 tyrosine kinase inhibitors as candidate therapeutics for neuropathic pain. Neuropathic pain remains a major unmet clinical need, and Eph receptor signaling has emerged as a promising but