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, computer science, or a related field. Expertise in causal inference and machine learning (in particular reinforcement learning), and strong experience with programming are desired.. Excellent communication and
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community program evaluation. Position Status Full Time Posting Number 25FA1054 Posting Open Date Posting Close Date Qualifications Minimum Education and Experience Doctorate in psychology or related field
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: 262971 Minimum Education and Experience: Applicants must have a doctoral degree in statistics, computer science, or a related field. City: Piscataway State: NJ Location: Busch (RU-New Brunswick) Create a
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, computer science, or a related field. Expertise in causal inference and machine learning (in particular reinforcement learning), and strong experience with programming are desired.. Excellent communication and
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Jersey’s academic health center, Rutgers Biomedical and Health Sciences (RBHS) takes an integrated approach to educating students, providing clinical care, and conducting research, all with the goal
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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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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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biology and behavior; proficiency in lab- or field- or computational research; strong analytical skills; excellent communication and scientific writing skills; ability to work in interdisciplinary teams
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on their mission of reducing and ultimately eliminating, tobacco-related morbidity and mortality. Five Centers or Programs currently operate at the Institute including a Tobacco Center for Regulatory Science, the
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Qualifications Experience in quantitative modeling, stock assessment, population dynamics, statistics, and computer programming (R, Python, Matlab, Template Model Builder, AD Model Builder) are preferred