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tools in C. elegans for mechanistic studies Apply quantitative microscopy to characterize biomolecular dynamics and phase transitions Develop computational models to integrate molecular data
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for mechanistic studies Apply quantitative microscopy to characterize biomolecular dynamics and phase transitions Develop computational models to integrate molecular data into predictive frameworks Implement
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cerebral organoid models to study the impact of environmental exposures on metabolostasis and proteostasis Build and validate machine learning models (in collaboration) for molecular data analysis and
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Fellowship is a one-year program that provides unique opportunities to a recent PhD or master’s level graduate to conduct rigorous, policy-oriented research to address key knowledge gaps in the field of Women
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, economics, computer or data sciences, management, public policy, or an associated discipline. Along with their mentored research, this fellow will join a cohort of Fritz Family Fellows working
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expression, genetic information, marital status, matriculation, national origin, race, religion, personal appearance, political affiliation, sex, sexual orientation, veteran status, or any other characteristic
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to collect, analyze and report data. In collaboration with the Principal Investigator(s) and research mentors, this role will participate in independent research, analyze and interpret data, publish results
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data. Support focus group discussions on survey findings with women peacebuilders in a variety of countries. Supervise and contribute to the final research report. Monitor progress toward WPS Commitments
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immediately but a review of applications will be ongoing. The position remains open until filled. Kindly provide a C.V., Research Statement (1 page), and contact information of three references. For more
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until filled. Please attach your cover letter, a CV, name and contact information of three references, and a summary of research experience describing past achievements, skills, and research interests