125 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" Postdoctoral positions at Rutgers University in United States
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discipline expertise and computational areas, such as data science, artificial intelligence (AI), machine learning (ML), generative AI and other technology innovations. Key details of this position include
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people's lives. Connections working at Rutgers University More Jobs from This Employer https://main.hercjobs.org/jobs/21964414/postdoctoral-associate-neurotoxicology-and-parkinson-s-disease Return to Search
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an anticipated start date of May 2026 in Dr. Nicole Fahrenfeld’s group in Civil & Environmental Engineering at Rutgers University-New Brunswick (https://sites.google.com/site/nicolefahrenfeld/home ). The postdoc
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proficient in working with large data-sets (observational or numerical), machine learning, and running/analyzing numerical simulations. The initial appointment will be for two years at Rutgers University
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Please send a cover letter, curriculum vitae, and the contact information (names, emails) for three references to Dr. Nicole Cain (nicole.cain@rutgers.edu) Quick Link to Posting https://jobs.rutgers.edu
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contact information of two references, preferably from previous advisors. Quick Link to Posting https://jobs.rutgers.edu/postings/263541 Campus Rutgers University-Newark Home Location Campus Rutgers
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contact information of two references, preferably from previous advisors. Quick Link to Posting https://jobs.rutgers.edu/postings/263541 Campus Rutgers University-Newark Home Location Campus Rutgers
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Preferred Qualifications Equipment Utilized Physical Demands and Work Environment Overview Statement Posting Details Special Instructions to Applicants Quick Link to Posting https://jobs.rutgers.edu/postings
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Effective spoken and written English required. High level of computer literacy required. The individual must be able to navigate the highly complex and often unpredictable nature of scientific research, as
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limited to artificial intelligence, computing theory (algorithms, complexity), data science, statistics, discrete mathematics (graph theory, combinatorics), game theory, machine learning, optimization