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(Track I & II), Master of Science in Architecture, Ph.D. in Sustainability, Bachelor of Interior Architecture, Master of Interior Architecture (Track I & II), Bachelor of Landscape Architecture, Master of
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firm. Qualifications We’re looking for highly analytical people (math, physics, computer science, statistics, electrical engineering, etc.) who want to help build the research-driven trading firm of
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preparation. Eventually obtain extramural funding to support own efforts within 5 years. Required Education PhD in applicable basic science research field. Required Experience Minimum of three-to-five years
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you for our team, where you’ll collaborate to deliver high-quality results in the emerging area of AI security. The CERT Division of the Software Engineering Institute (SEI) is seeking applicants
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Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
Education/Experience PhD or MD in Microbiology/Immunology, a basic science field, or a related discipline. Must have teaching and research experience with a well-documented publication record. All degrees
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organizations to understand research requirements and review protocol implementation. Qualifications: (1) PhD in MR physics or engineering, (2) expertise in MR system hardware and software usage, application and
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you for our team, where you’ll collaborate to deliver high-quality results in the emerging area of AI security. The CERT Division of the Software Engineering Institute (SEI) is seeking applicants
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The Interdisciplinary Science (IS) Department, in collaboration with others, is performing research in the areas of renewable integration and grid modernization. The goal of our research is to
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
PhD/PsyD Psychology, Developmental Behavioral Pediatrics Appointment Type Fixed Term Faculty Vacancy ID FAC0005222 Full-time/Part-time Full-Time Permanent Hours per week 40 FTE 1 Position Location North
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involved in analyzing data collected from the TexNet seismological monitoring program and other stations or assets that provide quality data. Comparing different methods and tools for moment tensor inversion