87 engineering-computation "https:" "https:" "https:" "https:" "https:" "U.S" "University of St" Postdoctoral research jobs at Rutgers University in United States
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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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Frelinghuysen Road, Piscataway, New Jersey 08854. Email: zongwx@pharmacy.rutgers.edu. Lab website: https://sites.rutgers.edu/wei-xing-zong/ Position Status Full Time Posting Number 26FA0287 Posting Open Date 03
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, molecular biology, or metabolic engineering with extensive computational research and lab experience. Certifications/Licenses Required Knowledge, Skills, and Abilities Preferred Qualifications A background in
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, molecular biology, or metabolic engineering with extensive computational research and lab experience. Certifications/Licenses Required Knowledge, Skills, and Abilities Preferred Qualifications A background in
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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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, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary The Institute for Ethical Leadership (IEL) at Rutgers Business School – Newark and New Brunswick invites applications for a
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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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biology, epigenetics, pediatric solid tumor, and working with patient samples and large datasets is required. The ability to work both independently and collaboratively is also essential. Must be computer
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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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candidates will have a background in the biomedical neurosciences such as biomedical engineering, data science, computational sciences, neurobiology, psychology, epidemiology, cognitive neuroscience, and an