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. The successful applicant will work in the areas of causal inference and statistical learning with high-dimensional observational data, including development of statistical and computational methods, and
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. The successful applicant will work in the areas of causal inference and statistical learning with high-dimensional observational data, including development of statistical and computational methods, and
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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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the evolution of kinship, gendered labor divisions, or disability are encouraged to apply. A Ph.D. in anthropology, biology, demography, statistics, or a related field is required. The position offers a flexible
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the evolution of kinship, gendered labor divisions, or disability are encouraged to apply. A Ph.D. in anthropology, biology, demography, statistics, or a related field is required. The position offers a flexible
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Posting Number 25FA1141 Posting Open Date 10/13/2025 Posting Close Date 12/19/2025 Qualifications Minimum Education and Experience Doctoral degree in Computer Science, Marketing, Economics, Statistics
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Posting Number 25FA0954 Posting Open Date 10/13/2025 Posting Close Date 12/19/2025 Qualifications Minimum Education and Experience Doctoral degree in Computer Science, Marketing, Economics, Statistics
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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
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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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Experience PhD is required along with knowledge of computer programming, statistical analysis, and genome evolution. Certifications/Licenses Required Knowledge, Skills, and Abilities The position requires