17 phd-student-positions-digital-forensics Postdoctoral positions at University of Virginia
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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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to PhD students and other early-career-scholars on the research team. Support the team with data cleaning, project management, and grant submission tasks as needed. Other tasks include various writing and
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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
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of this lab position is to lead a research project centered on type 1 diabetes (T1D) with a focus on ferroptosis and iron metabolism. Additional projects may include analyses of patient samples and tissues with
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will have a PhD with experience in relevant areas of biology, first-author publication(s), and the ability to work well in a highly interactive, creative, and collaborative environment. Postdoctoral
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communication skills and the ability to work both independently and collaboratively within a team. Minimum Requirements: Qualified candidates must have a PhD by the appointment start date. This position will
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for Brain Immunology and Glia at the University of Virginia, which provides access to state-of-the-art microscopy and flow cytometry facilities. The Research Associate position is a 12-month appointment with
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supervised by a senior scholar, and allows the appointee to publish the results of his/her research or scholarship during the training period. The position is a 12-month appointment with the possibility
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Research Associate. This position offers an excellent opportunity to work alongside Dr. Hong Zhu and a multidisciplinary research team, contributing to innovative methods in comparative effectiveness
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. This position offers a unique opportunity to contribute to high-impact, interdisciplinary research at the intersection of network science, global research competitiveness, and generative AI capabilities