123 parallel-processing-bioinformatics-"https:" Postdoctoral positions at Rutgers University in United States
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discipline required. Consideration to interview will also be given to applicants who are in the process of completing their Ph.D. degree. Documentation of Ph.D. degree completion must be provided prior to commencement
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voluntary tax-deferred savings options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http
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advanced signal processing and time–frequency analyses of neural recordings. Develop and implement computational pipelines using MATLAB, Python, or similar platforms. Lead manuscript preparation for peer
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capabilities necessary to communicate with other researchers and staff in person, on the telephone and by e-mail. Vision capable of viewing gauges, computer monitors, charts, forms, text and numbers
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this position. WORK ENVIRONMENT: The candidate will work primarily in Newark, NJ and/or New Brunswick, NJ with some remote flexibility. Candidate will have access to a standard computer, phone, and internet
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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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include the following: Conduct research in the area of aging, balance, fall rehabilitation, app development, and biomechanics. Data Post-processing. Programming using MATLAB, Python, and Java/Kotlin
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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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dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview
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stimulation and recording electrodes. Design, execute, and analyze research studies using intracranial EEG (ECoG, SEEG) data from animals and humans. Perform advanced signal processing and time–frequency