251 structural-engineering-"https:" "https:" "https:" "https:" research jobs in United States
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to the university’s broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent. Benefits Rutgers offers a comprehensive benefits package
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technology and innovation. Home to the Wall of Wind and Institute of Environment, FIU stands at the forefront of discovery and innovation. With a focus on student success, economic mobility and community
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relative to the university’s broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent. Benefits Rutgers offers a
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that combine the engineering and analytical principles of multiple scientific disciplines. We are seeking a talented postdoctoral fellow to join our team and advance our mission by contributing to the discovery
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projects for this position include: (1) development of physiologically based pharmacokinetic (PBPK) and quantitative structure-activity relationship (QSAR) models of drugs, environmental chemicals, and
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Scattering Division (NSD), the Instrument Development group in the Neutron Technology Division (both part of the Neutron Sciences Directorate at Oak Ridge National Laboratory (ORNL), and the Neutron and X
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clinical research, an accelerated RN-to-BSN program, an Executive M.B.A. program structured for working professionals, and the nation’s only bachelor’s degree program focused on coastal engineering. The
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and state's growing profile as a regional leader in research, technology transfer, economic development, and job creation. Below you will find the details for the position including any supplementary
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and atomic-level assembly of cell walls, extracellular structures, and are constructing blueprints of how bacteria use these building blocks to engineer organized and dynamic architectures. We
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, computer science, electrical engineering or physics. Preferred qualifications A deep understanding of statistical modeling, inference, and compressed sensing. Experience deriving biological insights from large