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surveys; Programming/scripting knowledge suitable for processing raw data for analysis (e.g., text manipulation); One or more computational environments for statistical analysis (e.g., MATLAB, Stata, R
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tasks across various stages of the research process. Faculty mentors are committed to the mentorship and professional development of the fellows and to fostering a supportive, collaborative, and fun
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be involved in a process-based biosphere modeling study of tropical forests. The goal of the research project is to identify and characterize the underlying drivers of differences in the ways in which
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subtilis, in many cases, taking advantage of the developmental process of spore formation in this organism. The lab also studies cell envelope biogenesis in two Gram-positive pathogens: Staphylococcus aureus
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surveys; · Programming/scripting knowledge suitable for processing raw data for analysis (e.g., text manipulation); · One or more computational environments for statistical analysis (e.g., MATLAB, R
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. Experience with computational text analysis, such as NLP methods, historical text processing, topic modeling, semantic change, or related techniques. Broad interest in cultural evolution, cognitive
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scientific development and for contributing to pioneering research. Specifically, the fellow will apply as well as develop code to process and analyze mycobacterial molecular and phenotype data. Including code
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information about the Harvard Origins of Life Initiative may be found at http://origins.harvard.edu/ ; please direct any questions on the application process to kelly.colbourn@cfa.harvard.edu All applicants
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independently. Additional Qualifications: Training in (aspects of) both economics and public health is desirable. Contact Information: For technical questions re: application platform or the process, please
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scientific development and for contributing to pioneering research. Specifically, the fellow will apply as well as develop code to process and analyze mycobacterial molecular and phenotype data. Including code