813 computer-security-"https:"-"https:"-"https:"-"U.S" Postdoctoral positions in United States
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Position Overview School / Campus / College: School of Medicine Organization: Biomedical Informatics and Medical Education Title: Postdoctoral Scholar, Luo Lab - Biomedical and Health Informatics
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the importance of this role in our research program. Essential job function: Design and implement research protocols; design safety procedures; adapt new procedures, methods or instrumentation related to research
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Description: Apply Position Description The Duke Quantum Center is seeking a Postdoctoral Researcher to work on ion trap quantum computer and quantum network projects, supporting/advancing research in quantum
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Sciences at Texas A&M University Texas A&M Forest Service Texas A&M Veterinary Medical Diagnostic Laboratory As the nation’s largest most comprehensive agriculture program, Texas A&M AgriLife brings together
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, computational biologists, and industry partners. The postdoc will also have opportunities for professional development, grant writing, and mentorship experience to support an independent career path. All
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Requisition Id 15815 Overview: The Workflows and Ecosystem Services (WES) group under the Advanced Technology Section (ATS) of the National Center for Computational Sciences (NCCS) is seeking a
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of Oregon’s academic excellence at home and with partners worldwide. Centers and programs within GSI include the African Sustainability Center, APRU Sustainable Cities and Landscapes Program, Center for Applied
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for conducting research on, working on, or having the ability to access critical organizational infrastructure and they must be able to maintain the security and integrity of the infrastructure related
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/fellowships. Additional Information: Works in a laboratory environment with potential exposure to biological and chemical hazards; requires successful completion of EHS safety training; frequently sits at a
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computational research in accelerator science and technology. The focus is on developing and applying machine learning (ML) methods for accelerator operations and beam-dynamics optimization in advanced