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in neurodegeneration. Strong background in bioinformatics and understanding of molecular biology. Strong analytical, organizational, and time-management skills. Oral and written communication skills
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neurons using multi-omics, cis-regulatory variants will be mapped onto these enhancers and then their function determined by Massively Parallel Reporter Assays (MPRA). The research will involve stem cell
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., oxidoreductases). It is expected that the Postdoctoral Associate will have expertise in several of the following areas including bioinformatics, bioinorganic chemistry, structural biology, microbial genomics
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interface of bioinformatics, microbiome ecology, and metabolomics, contributing to both computational analyses and laboratory workflows. This position offers the opportunity to lead integrative projects
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required. The selected candidate will obtain appropriate training in crystallization and crystallographic computing, microscope alignments, data acquisition, image processing and structure calculation using
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sequencing and bioinformatics. Keeps up-to-date with technical and theoretical knowledge related to the projects. Generates, compiles and presents experimental data with appropriate conclusions
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- Prior experience in somatosensory research. - Familiarity with advanced imaging, electrophysiological techniques, and behavioral assay methodologies. - Proficiency in using bioinformatics tools
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processes, etc., to develop the skills necessary to perform the required functions. Understands and adheres to Rutgers’ compliance standards as they appear in RBHS’s Corporate Compliance Policy, Code
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stimulation and recording electrodes. Design, execute, and analyze research studies using intracranial EEG data from animals. Perform advanced signal processing and time–frequency analyses of neural recordings
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advanced degrees in biomedicine, bioinformatics, computational biology, or related fields to gain hands-on experience in a dynamic research environment. Position Status Part Time Posting Number 24FA0702