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electrical activity with high resolution in space and time. We study information processing in the brains of awake, behaving mice and zebrafish. We also work on electrical signaling in other tissues
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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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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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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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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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or the process, please contact Monika Szperka at mszperka@hsph.harvard.edu. For questions re: position please email Drs. Margaret McConnell (mmcconne@hsph.harvard.edu) and Henning Tiemeier (tiemeier
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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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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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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