22 parallel-computing-numerical-methods "Institute of Computer Science" Postdoctoral research jobs at Georgetown University
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Position Description The Massive Data Institute (MDI) and the Department of Computer Science seek a postdoctoral fellow to join a project that focuses on responsible AI innovation. The project is led
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& Statistics. Applicants should have a PhD in any relevant social science disciplines, computer/data science, or other related fields. The postdoctoral fellow will be part of a cross-institute and cross-school
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Postdoctoral Fellow, Department of Family Medicine Georgetown University: Medical Center: School of Medicine: Family Medicine Location Washington, DC Open Date Jun 18, 2024 Description Georgetown
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emissions. Developing new statistical methods for the interpretation of atmospheric greenhouse gas data from satellites Building spatially explicit inventories of fluorinated greenhouse gas emissions
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Postdoctoral Fellow, Department of Oncology - Georgetown University Medical Center Georgetown University: Medical Center: School of Medicine: Oncology Location Washington, DC Open Date Apr 01, 2022
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Artificial Intelligence and Democratic Citizenship Postdoctoral Associate, Department of Government Georgetown University: Main Campus: College of Arts & Sciences: Government Location Washington, DC
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legal interpretation (see https://solid-symposium.github.io/2025/ for examples of interdisciplinary research in this space). We seek candidates with a Ph.D. in Linguistics, Computer Science, Cognitive
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Postdoctoral Fellow, Department of Oncology (Cancer Biology) - Georgetown University Medical Center Georgetown University: Medical Center: School of Medicine: Oncology Location Washington, DC Open
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Postdoctoral Fellow in Tumor Immunology within the Department of Oncology at Georgetown University Georgetown University: Medical Center: School of Medicine: Oncology Location Washington, DC Open
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interview-based or mixed-methods projects Ability to read, interpret, and summarize social science research; comfort engaging with academic and policy literature Familiarity with human subjects research