241 evolution "https:" "https:" "https:" "https:" "University of Cambridge" positions at Oak Ridge National Laboratory
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research and development organization with 140 scientists and engineers, a $70M annual budget, and more than 70 years of achievements in local, national, and international environmental research. Our vision
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integrate quality principles into the unique aspects of the research and development (R&D). Influence the prioritization and development of quality initiatives by maintaining a comprehensive understanding of
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on scalability, reliability, and performance. Systems Analysis and Development: Apply systems analysis techniques to consult with users/customers, determine functional requirements, and design, test, or optimize
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on either a large-scale scientific research and development project or large scientific instrument project. Oak Ridge National Laboratory (ORNL) is the largest US Department of Energy science and energy
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Research Associate to develop and apply computational technique for advanced manufacturing using high-performance computing resources. ORNL’s CCP conduct world-leading research and development in multi-scale
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performance, professional development, and long-term workforce planning in collaboration with Group Leaders. Drive and uphold a strong culture of safety, integrity, and responsible conduct of research. Identify
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associated Research, Development, and Pilot Production activities. This position resides in the Isotope Enrichment & Facilities Group within the Quality Assurance Division (QAD), Environment, Safety, Health
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design of novel experimental methods, such as development of high speed and high-fidelity data collection methods, implementation of autonomous experimental workflows, and formulation of new ways
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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
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impactful research and development programs in healthcare informatics, bioinformatics, high performance computing and deep learning. You will work in a collaborative research and development environment