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transformative solutions to compelling problems in energy and security. Within ORNL, the Building Envelope Materials Research (BEMR) Group develops and deploys affordable, advanced, and resilient solutions
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of agentic behavior and publishing high-impact research Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a related field. You will have a Strong background
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that responsibilities identified within internal processes such as Health and Safety guidelines etc. are robustly met by all research team members. To take responsibility for planning and developing research methods and
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Materials Analysis in the Nuclear Nonproliferation Division in the National Security Sciences Directorate at Oak Ridge National Laboratory (ORNL). Major Duties/Responsibilities: Develop, validate, and extend
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. Your competencies You hold a PhD degree in mechanical engineering or a closely related field, and you have a strong background in solid and computational mechanics. You have solid experience with finite
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medical research. Depending on the qualifications of the successful candidate, the position will be offered either as a Researcher (Master's degree) or as a Postdoctoral Researcher (PhD degree). You can
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provide day-to-day research support where appropriate. Contribute to teaching activities as required. Contribute to funding proposals and grant applications to secure follow-on research funding. Undertake
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discussions and collaborative projects. • Ensure that research is conducted in compliance with institutional policies, approved protocols, and laboratory safety guidelines. Qualifications • A PhD in
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/offer/436 Requirements Research FieldEngineering » Chemical engineeringEducation LevelPhD or equivalent Skills/Qualifications PhD in Chemistry, Materials Science or Engineering, Chemical Engineering
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Confidential Computing and Secure Multi-tenancy. The candidate will be able to make research contributions in areas of system software architectures to support secure computing enclaves on large scale HPC and