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position, starting no later than August 25, 2025. We seek exemplary applicants who hold a Ph.D. in Linguistics or a related field who apply computational and/or experimental methods to research in
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addresses your area(s) of interest in social science research, any research or professional experiences that contribute to your qualifications for this position, why you are interested in the JPR Program, and
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. Among the methods used are high-throughput CRISPR screening, protein deep mutational scanning, massively parallel reporter assays, and genetic manipulation of cell lines and mice. The successful candidate
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excellent verbal and written communication skills, attention to detail, and demonstrated computer efficiency. In addition, the candidate should have strong organizational skills, the ability to successfully
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, revenge and forgiveness, information disclosure, and impression management. Our lab uses mixed methods: incentivized behavioral experiments, hypothetical vignette scenario studies, NLP and computational
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Program is seeking a postdoctoral research fellow to join Drs. Grace Noppert and Kate Duchowny in the Biosocial Research Collaborative. The fellow will contribute to several projects investigating how
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using molecular simulation and machine learning methods. This position offers the opportunity to work at the intersection of computational methods and advanced material discovery in a highly collaborative
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of the Program, regularly attending and occasionally presenting at the Qualitative and Mixed Methods Learning Lab meetings, and writing an application for extramural funding. These responsibilities will be
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qualitative and mixed methods research and developing psychosocial interventions are also desirable. Skill with conducting human subjects research, data management, statistical analysis, and the development
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your current graduate or clinical residency training program. Graduate-level academic transcripts (unofficial is acceptable) Two writing samples, preferably a copy of a previously published manuscript(s