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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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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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the following documents: CV/Resume Cover Letter, commenting on research/professional interests Contact information for three references (name, title, relationship, email address, and telephone number) Upload all
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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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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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that will be employed include flow cytometry, confocal and electron microscopy, in vivo two photon imaging, behavioral studies and transcriptomic techniques. The successful candidate will join the Center
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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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at the endoplasmic reticulum and mitochondria. Our lab combines cryo-electron microscopy (cryo-EM), cellular cryo-electron tomography (cryo-ET), biochemistry, and cell biology to uncover how protein targeting and
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of interest along the way. For questions regarding this position, please contact Dr. Bon Trinh via email at: bontrinh@virginia.edu. Postdoctoral employment is temporary and is normally limited to an individual
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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