32 software-defined-network-postdoc Postdoctoral positions at Oak Ridge National Laboratory
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Requirements: Postdocs: Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment
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to ORNLRecruiting@ornl.gov (For postdocs, use Postdocrecruitment@ornl.gov ) with the position title and number referenced in the subject line. Instructions to upload documents to your candidate profile: Login
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in an inclusive work environment for a diverse community of users, staff, postdocs, and students. Report and publish scientific results in peer-reviewed journals. Present results at international
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working in radiological environment. Experience in heat transfer and thermal modeling/simulation using finite-element analysis (FEA) or other software. Ability to work within a multi-disciplinary team
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priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs. Special Requirements: Postdocs: Applicants cannot have received their Ph.D. more than five years prior to the date
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) at Oak Ridge National Laboratory (ORNL) is seeking a Post Doctoral Research Associate to perform R&D in the areas of EMT simulation and software development as well as dynamic and transient inverter
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languages. Experience using parallel Linux computing platforms, parallel job submission scripts, common software repository tools, and parallel visualization software. Preferred Qualifications: Excellent
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to enable quantum computers, devices, and networked systems. It develops community applications, data assets, and technologies and provides assurance to build knowledge and impact in novel, crosscut-science
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reporting complex research assignments related to buildings, specifically: 1) system modeling and optimization with applications to building-to-grid integration, and 2) hardware and software development
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. Understanding of machine learning algorithms (gradient descent, random forests, etc.) and deep neural network architectures (ResNet and Transformers). A broad understanding of machine learning methodologies and