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related experience. Unix skills. Experience with scripting and automation (e.g., R, Bash, Python) Understanding of the principles of computer clusters – parallel computing, resource allocation, multiple
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) High-Performance Computing (HPC) team supports this mission through a rapidly evolving research computing environment featuring advanced GPU platforms, large-scale parallel storage, hybrid cloud
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Artificial Intelligence and Data Science for Policy. Candidates should have deep expertise in AI/ML/data science methods and the drive to see applications through to real world impact in public policy
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, and optimization of departmental IT infrastructure and research computing environments. The position performs systems analysis, advanced technical troubleshooting, software configuration, system
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, related quantitative field, or equivalent in education and experience At least 3 years of related experience Preferred Qualifications Experience with machine learning, scientific computing
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faith and reasonable estimate of the range of possible compensation at the time of posting. Position Summary Reporting to the Senior Director, End User Computing & Email Systems, the Manager
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administration, servers and systems, research computing and data center environments. This individual will be responsible for maintaining key relationships with senior business and information
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teaching strengths in a variety of key areas; see: https://www.publichealth.columbia.edu/become-student/departments/epidemiology/research . We are seeking to further strengthen our research portfolio
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to work independently on assigned timelines to meet study goals and objectives. Attention to detail with the ability to maintain accurate records. Strong self-motivation. Strong general computing
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Qualifications Computing, programming, or software skills in multiple platforms are helpful, as well as familiarity with statistical software packages (e.g., SPSS, R, Matlab). Bilingual in Spanish. At least one