60 phd-position-in-statistics positions at Carnegie Mellon University in United States
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project meetings Summarizing statistical information for analysis, examination or presentation; writing technical reports. Building and validating quantitative models Using a variety of software packages
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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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. This position provides support to faculty members, their associated teams and projects. You will assist with the administrative workflow within the department, and support budget and other related processes as
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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