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. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are
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. Programming: Strong scripting skills, typically in Python or Go, for automation and building operational tools. MLOps Tools: Familiarity with MLOps platforms and tools (e.g., MLflow, Kubeflow, Data Version
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contexts. Basic Qualifications Ph.D. in areas such as statistics, biostatistics, computer science, economics, or a related quantitative field Strong skills in R and/or Python and experience analyzing complex
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, or Python); Creating and managing very large datasets; Managing and mentoring research assistants (RAs); Machine learning skills; Writing papers for management and economics journals; Interest in reskilling
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preferred; Demonstrated success managing completion of full research projects a plus; Familiarity with R a plus; Familiarity with Python a plus; and Doctorate degree preferred. Additional Information
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initiatives. Provide after-hours support as needed to maintain system availability and business continuity. Abide by and follow the Harvard University IT Code of Conduct (https://huit.harvard.edu/it
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submission of a manuscript for publication. Basic Qualifications Bachelor’s degree in computer science or closely related field Additional Qualifications Proficiency in programming languages (R, Python, Java
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under pressure, accurately assess problems, and develop solutions; • K-12 sector or university research experience; and • Stan or Python programming a plus Additional Information Appointment End
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technical discipline desired Minimum of five years’ software development experience with Python and SQL. Minimum of three years’ experience building pipelines to deploy NLP and deep learning models
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statistics, computer science, data science, or closely related field with 2+ years of relevant experience. Proficiency in statistical programming languages (Python, R, or SQL) is required. Experience and