53 phd-statistics positions at Carnegie Mellon University in america in United States
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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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Mellon University is looking for a Postdoctoral Researcher to develop computational methods to address exciting problems in statistical genetics. The new postdoc will be expected to lead new computational
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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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combination of training or experience; or MS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with one (1) year of experience; or PhD in data science
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combination of training or experience; or MS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with one (1) year of experience; or PhD in data science
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, statistical modeling, or machine learning Recognizing and properly handling confidential and sensitive information. Applying cybersecurity knowledge to areas such as AI/ML domain and open-source software