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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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commercial environment 2+ years of experience in building generative AI-based products. Strong Python and Typescript/JavaScript skills required; Expertise in multivariate statistical modelling (e.g
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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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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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experience with empirical research methods. Candidates with research experience are strongly preferred, especially those with programming experience in Stata, SAS, R, and/or Python. Candidates need not be
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standards, leveraging Python and shell scripting to automate builds, packaging, and CI/CD. You will contribute to methods, training, and publications that strengthen computational rigor across cryo-EM
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the possibility of extension. For more details on our research and recent publications, see the Geometric Machine Learning Group’s website: https://weber.seas.harvard.edu For questions, please email mweber
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of cilia. More information about the lab and specific project areas can be found at https://brown.hms.harvard.edu/research. We welcome applications from recent PhD graduates, particularly those who may