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especially encourage candidates with proven experience in applying computational and experimental methods to social scientific questions – including aptitude in working with large-scale datasets and text
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interpersonal and communication skills. While not a must, a strong background in computational methods and/or statistical methods is a plus. Special Instructions Applicants should submit a formal application and
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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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experiments while also taking an active role overall Program strategy and alignment with the sponsor’s contractual requirements. Work closely with a collaborative multi-disciplinary team of scientists
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are invited to participate in broader activities at Harvard and Brown, including seminars and courses. The program serves as an ideal bridge between college and graduate school for students interested in
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or computational research, the successful candidate will be expected to apply for fellowship funding, contribute to the writing of grants and manuscripts, participate in teaching and mentoring of lab members as
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for analysis (e.g., text manipulation); · One or more computational environments for statistical analysis (e.g., MATLAB, R, or Stata); · Creating and managing very large datasets; · Machine
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lab experiments, field experiments, and/or surveys; · Programming/scripting knowledge suitable for processing raw data for analysis (e.g., text manipulation); · One or more computational
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(yes, that means some museum and fieldwork!). Comparative analysis using advanced computational tools and wet lab techniques. Hands-on dissections of invertebrates for anatomical and physiological
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Native American Program, and in collaboration with regional and national Indigenous community partners, the fellow will assume mentored responsibility for: (1) advancing research projects, analyzing