125 engineering-computation "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" Postdoctoral research jobs at Rutgers University in United States
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candidates will have a background in the biomedical neurosciences such as biomedical engineering, data science, computational sciences, neurobiology, psychology, epidemiology, cognitive neuroscience, and an
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Number 26FA0075 Posting Open Date Posting Close Date 06/30/2026 Qualifications Minimum Education and Experience The successful applicant should have completed a PhD in urban planning, civil engineering
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human patients. The applicant should have strong background in neuroscience and/or cell biology, biomedical engineering or computer science. The applicant should be able to perform small animal surgeries
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execute experiments, analyze complex data sets, and interpret physical measurements. Experience with vacuum-based systems, surface or solid-state characterization, and scientific computing is preferred
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Pension Eligibility ABP Qualifications Minimum Education and Experience PhD in biomechanics, kinesiology, biomedical engineering, computer science, or a closely related discipline. Experience with motion
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programs Posting Summary The Guzmán-Vélez Lab at Rutgers University (PI: Edmarie Guzmán-Vélez, PhD) is seeking a highly motivated Postdoctoral Associate to join a multidisciplinary research program focused
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on projects through expert knowledge of rail and transit engineering · Writes technical reports and contributes to preparation of journal articles and prepares conference presentations · Updates related
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Position Details Position Information Recruitment/Posting Title Postdoctoral Associate Department Civil & Environmental Engineer Salary Details A minimum of $63,968 for calendar year appointment
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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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used; the Framework for Assessment of Changes To Sea-level (FACTS; https://www.fact-sealevel.org/ ), an open-source sea-level projection framework initially developed by the lab, supported