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. Lozada-Hildalgo, & P. Unwin. Nature. 2023, 620, 782–786. 2. Thousand-fold increase in O2 electroreduction rates with conductive MOFs. R. Mariano, O. Wahab, J. Rabinowitz, J. Oppenheim, T. Chen, P. R. Unwin
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required. Substantial experience in machine learning, Python and R programming, and familiarity with deep learning packages (e.g., TensorFlow, Keras, or PyTorch) are essential. Additional Qualifications
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teams. Experience with statistical programming in either R or Stata. Experience conducting original research using the following methodologies: Elite interviews Commissioning and analyzing population
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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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to summarize and communicate key results. Previous experience collecting, categorizing, and storing physical samples and digital data Strong Proficiency in creating reproducible data analysis workflows with R
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preferred, especially those with programming experience in Stata, SAS, R, and/or Python. Candidates need not be Economics majors, though they should have a strong interest in and some experience with
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of administrative and survey data using statistical programming languages (i.e.: Stata and R), including data cleaning and assessments of data quality Perform logical and thorough literature searches Provide relevant
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-employment reference checks and background screenings. This position has a 90 day orientation and review period. The O&R period will be waived for any internal Harvard employee transfers. The health of our
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that applicants follow the Fellowship (F) instructions in the SF424 (R&R) Application Guide except where instructed to do otherwise (in this FOA or in a Notice from the NIH Guide for Grants and Contracts
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sector preferred; • Demonstrated success managing completion of full research projects a plus; • Knowledge of enterprise data management systems/tools a plus; • Familiarity with R a plus