43 digital-signal-processing Postdoctoral positions at Rutgers University in postdoctoral
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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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conduct advanced research in pharmaceutical sciences and translational cancer biology, focusing on tumor microenvironment signaling, perineural invasion, and therapeutic resistance mechanisms in prostate
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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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whether microbes alter host behavior, but how- down to the level of receptors and signaling. Among the key duties of this position are the following: Rear and manipulate insects. Design and conduct rigorous
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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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culture, receptor signaling assays, in vivo mouse models, and molecular biology techniques under the PI's guidance. Meets with the principal investigator to establish goals and objectives for VILP-related
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‑pathogen and host‑microbiome interactions in metabolic, autoimmune, and oncologic diseases using a combination of molecular biology, cell signaling, immunology, and multi‑omics approaches. Particularly