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consideration. Review of applications will begin immediately, and the posting will stay open until filed. Selected Post Docs must have their completed PhD and be able to begin work by mid to late summer 2026
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The Carter G. Woodson Institute for African American and African Studies invites applications for residential Post-Doctoral Research Associates, beginning in July 2026 (must have PhD in hand by June
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the supervision of the Principal Investigator. Qualified candidates must have a doctoral degree, preferably a PhD in psychology, neuroscience, or biological sciences by the appointment start date. Extensive (3
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Qualifications PhD degree in computer science, data science, or related fields. Effective written and verbal communication skills Robust machine learning and natural language processing skills Proficient computer
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visit: https://thelawmakers.org/ . A PhD degree in Political Science or related disciplines is required by the start date of the position. Strong quantitative, communication, and project management skills
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, dissemination of research through publications, and mentoring PhD students. The labs’ extensive collaborative networks, both nationally and internationally, span various disciplines, offering diverse applications
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molecular, biochemical, and behavioral manifestations. We have collaborations with other labs that enrich the overall research experience. QUALIFICATIONS Applicants must have PhD and/or MD (or equivalent
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to bring to the lab. They will be expected to help teach other trainees rotating in the laboratory, including pulmonary and critical care fellows, medicine residents, PhD candidates, medical students, and
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experimental results for internal and external presentations and for progress reports and publications. Supervision of junior staff, undergraduate and graduate students. Minimum Requirements Education: Doctoral
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of national research infrastructures. The ideal candidates will have a PhD in a discipline closely related to computational social science by date of appointment (e.g. network science, computer science, data