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computational environments for ’omics data manipulation (command line, Python, R, etc.) Deep knowledge in at least one relevant subdiscipline, i.e. bioinformatics, microbiology, microbial ecology, biostatistics
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or Python. Special Instructions Applications will be accepted until positions are filled. Please apply here via the Harvard system. Please do not contact lab faculty; if you have any questions, please contact
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, instrumental variables, treatment selection, power analysis Proficiency in R, Python, or Stata for statistical analysis Experience with SQL and data management Familiarity with Generative AI tools and LLMs
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, control theory, or a related field. Strong statistical understanding and a talent for data analysis and visualization using Matlab or Python are expected. Specific experience with experimental design
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skills in Python and familiarity with scientific computing libraries. Demonstrated experience in one or more of the following areas: modular machine learning, transfer learning, or composable models