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to prepare fellows for doctoral research. Fellows will be exposed to a range of research tasks across various stages of the research process. Faculty mentors are committed to the mentorship and
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and non-compliance, analysis of heterogeneous effects and interference; Designing lab experiments, field experiments, and/or surveys; Programming/scripting knowledge suitable for processing raw data
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. Processes, organizes and summarizes data, reporting results using a variety of scientific, word processing, spreadsheet or statistical software applications or program platforms including R, SAS, Python, and
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of at least two references Candidates may be asked to undergo an assessment as part of the interview process. Special Instructions These are term positions starting July 2026 (start date flexible) through June
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Information For technical questions re: application platform or the process, please contact Monika Szperka at mszperka@hsph.harvard.edu. For questions re: position please email Drs. Margaret McConnell (mmcconne
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process. Additional Information: This is an immediate hire full-time term position through April 14, 2026, with strong potential for reappointment based on funding and performance. Relocation funding not
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of the interview process. Additional Information: This is an immediate hire full-time term position through April 14, 2026, with strong potential for reappointment based on funding and performance
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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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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