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seeking a Geospatial Data Engineer to support research and operational workflows focused on scalable geospatial data science, applied machine learning, and production-grade engineering practices to deliver
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. Basic Qualifications: A PhD in materials science and engineering or a related discipline completed within the last five years. A strong background in physical metallurgy Preferred Qualifications
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to the implementation and perpetuation of values and ethics. Basic Qualifications: A PhD in inorganic, organic, polymeric, or physical chemistry or a closely related field, completed within the last five years. Preferred
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Computation (MiC) Section at The Oak Ridge National Laboratory (ORNL) invites outstanding candidates to apply for a staff position in the Data Analysis and Machine Learning Group. This group focuses
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a related field with 7+ years of experience or a PhD in mathematics, computer science, engineering with relevant experience. Preferred Qualifications: Experience with mesh generation/CFD applications
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a related field with 7+ years of experience or a PhD in mathematics, computer science, engineering with relevant experience. Preferred Qualifications: Experience with mesh generation/CFD applications
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in accordance with Division Quality Program requirements and best practices. Basic Qualifications: PhD in Mechanical Engineering, Engineering Science and Mechanics, or a closely related engineering or
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: PhD in Nuclear Engineering, Mechanical Engineering, Thermal-Mechanics, Fluids, or a closely related field. Experience in the development and application of complex engineering codes and preferable
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algorithms and systems, artificial intelligence and machine learning, data management, workflow systems, analysis and visualization technologies, programming systems and environments, and system science and
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the Linux environment. Configure, deploy and update containers in a Docker/Kubernetes environment using GitLab CI/CD pipelines. Develop documentation for systems/applications deployed. Able/willing to learn