243 evolution "https:" "https:" "https:" "Foundation for Research and Technology Hellas" positions at Oak Ridge National Laboratory
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to the development of new initiatives in their area, and interact with ORNL staff, industry, and academic partners. This position is in the Sustainable Manufacturing Technologies Group in the Manufacturing Science
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Design Services Manager is responsible for the 3D CAD model and drawing development for the STS and manages a centralized group of designers for the project. This position is a key role in the project and
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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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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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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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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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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
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and assist in the development of novel separation and measurement protocols for complex nuclear matrices. Your work will support ORNL scientific staff conducting research and chemical operations
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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