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Description: Apply Position Description Society-Centered AI Initiative and The Polarization Lab at Duke University are inviting applications for a Postdoctoral Associate. We seek a recent PhD with an interest
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international and regional leadership in biostatistics, genomics, biomedical informatics, artificial intelligence and health data science. We are recruiting a creative, rigorous Postdoctoral Research Scientist
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/silverlab/ . Conduct independent research activities under the guidance of a faculty mentor in preparation for a full time academic or research career. Minimum Requirements: PhD in Neurobiology, Cell Biology
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skills are particularly welcome. For information about the lab and the PI, please visit: https://www.cellbio.duke.edu/purushothama-rao-tata/ . This will be a minimum one-year appointment, contingent upon
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different countries. The successful candidate will be adept at crafting data‑driven narratives aligned with project priorities, have a strong record of peer‑reviewed publications, and demonstrate excellent
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with a deep interest in the fundamental mechanisms shaping plant communities and their response to climate change. Qualifications: • PhD in Ecology or a related field • Strong quantitative background
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other post-doctoral researchers. The project will also provide a specific budget for a laptop and for travels to workshops and other meetings. REQUIREMENTS: A PhD in an environmental, economic, or related
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preparation for a full time academic or research career. Work Performed DEFINITION: The Postdoctoral Appointee holds a PhD or equivalent doctorate (e.g. ScD, MD, DVM). Candidates with non-US degrees may be
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Qualifications: Completed PhD in History or related field Background in high-level research that examines issues related to equity and social justice, broadly construed Training in oral history methods and track
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institutions. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also, perform data analysis utilizing medical imaging data