150 machine-learning "https:" "https:" "https:" "https:" "University of St" Postdoctoral positions at Rutgers University in United States
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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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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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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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capable of viewing gauges, computer monitors, charts, forms, text and numbers for prolonged periods. WORK ENVIRONMENT: Must be available to work flexible hours, including overtime on short notice and
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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
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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
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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 will lead
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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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analyses or the ability to effectively learn these techniques will be needed. Effective oral and written communication skills. Preferred Qualifications Experience in immunology, T cell biology, and cancer