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an affordable cost of living, vibrant outdoor culture with proximity to the Great Smoky Mountains, and a growing scientific community. Major Duties/Responsibilities: Develop, improve, and implement novel
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. Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory. Ability to function
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process development strategies. Familiarity with sensors and data acquisition systems in manufacturing environments Strong record of peer-reviewed publications Excellent written and oral communication
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++. Evidence of scholarly productivity, including peer-reviewed publications and conference presentations. Excellent written and oral communication skills and the ability to work effectively in a collaborative
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, Integrity, Teamwork, Safety, and Service. As a member of the ORNL scientific community, you will be expected to commit to ORNL's Research Code of Conduct. Our full code of conduct and a statement by the Lab
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networked systems. It develops community applications, data assets, and technologies and provides assurance to build knowledge and impact in novel, crosscut-science outcomes. The position is supported by
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. Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory. Ability to function
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.) to enable real-time process monitoring of the Directed Energy Deposition (DED) printing process. A background in sensors, instrumentation, and data analytics is preferred. Strong communication and program
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Implementation of scalable numerical algorithms on HPC architectures Excellent written and verbal communication and interpersonal skills. Special Requirements: Applicants cannot have received their Ph.D. more than
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to communicate research results through reports, publications and presentations. Experience in accelerator physics, including working in a control room, conducting accelerator-based experiments, and computational