58 phd-position-in-statistics positions at Carnegie Mellon University in United States
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related discipline with eight (8) years of experience; or PhD in computer science, statistics, economics, mathematics, risk management, or related highly-quantitative discipline with five (5) years
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data science, machine learning, computer science, statistics, or related highly-quantitative discipline with one (1) year of experience; or PhD in data science, machine learning, computer science
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related discipline with eight (8) years of experience; or PhD in computer science, statistics, economics, mathematics, risk management, or related highly-quantitative discipline with five (5) years
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for statistical genetics or computational biology. Experience in analyzing genetics data (such as GWAS) and/or single-cell genomics data will be a positive but is not required. All applicants should submit a CV
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or related highly-quantitative discipline with five (5) years of experience; or PhD in computer science, statistics, engineering, physics, mathematics or related highly-quantitative discipline with two (2
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, mathematics or related highly-quantitative discipline with eight (8) years of experience; or PhD in computer science, statistics, engineering, physics, mathematics or related highly-quantitative discipline with
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or related highly-quantitative discipline with five (5) years of experience; or PhD in computer science, statistics, engineering, physics, mathematics or related highly-quantitative discipline with two (2
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, mathematics or related highly-quantitative discipline with eight (8) years of experience; or PhD in computer science, statistics, engineering, physics, mathematics or related highly-quantitative discipline with
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data science, machine learning, computer science, statistics, or related highly-quantitative discipline with five (5) years of experience; or PhD in data science, machine learning, computer science
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, participating on client and research teams that are leading the way in establishing new software estimation and measurement techniques. In this position, you’ll be part of a mission-focused culture of