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Posting Open Date Posting Close Date Qualifications Minimum Education and Experience The candidate should hold a PhD degree in Computer Science, Information Systems, Computer Engineering, or a related field
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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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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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, Public Administration, Psychology, Industrial/Systems Engineering, or related fields critical to IDRIS Experience in analyzing real data Strong programming skills Familiarity with statistical methods
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Science, Electrical/Computer Engineering, or a related field by the start date, with a strong publication record in computer vision, multimodal learning, or vision–language models. We require hands-on expertise with
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of recommendation to the Rutgers University online recruitment system. Quick Link to Posting https://jobs.rutgers.edu/postings/261432 Campus Rutgers University-New Brunswick Home Location Campus Busch (RU-New
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of recommendation to the Rutgers University online recruitment system. Quick Link to Posting https://jobs.rutgers.edu/postings/261432 Campus Rutgers University-New Brunswick Home Location Campus Busch (RU-New
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group in Civil & Environmental Engineering at Rutgers University-New Brunswick (https://yalinli.group ; https://cee.rutgers.edu/yalin-li ). The postdoc will lead research on process design, techno
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engineering, computer science, applied mathematics, systems biology, or a related field. Strong background in computational modeling, data science, or machine learning. Candidates in ABD (all but degree) status
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voluntary tax-deferred savings options Employee and dependent educational benefits (when applicable) Life insurance coverage Employee discount programs Posting Summary This is a two-year endowed research