109 machine-learning "https:" "https:" "CMU Portugal Program FCT" Postdoctoral positions at Rutgers University
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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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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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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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-making. Among the key duties of this position are the following: Develop and refine computational models (e.g., mechanistic, machine learning, or hybrid approaches) for ICU patients. Integrate and analyze
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industry. The Fellowship Program provides robust learning experiences related to Medical Affairs, Commercial/Marketing, Regulatory Affairs, Clinical Development, etc. The Fellow will spend the majority
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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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milestone 250th anniversary in 2016, the university is the eighth oldest higher education institution in the United States. More than 67,000 students and 22,000 faculty and staff learn, work, and serve
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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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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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, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information