265 linked-data-"https:" "https:" "https:" "University of St" positions at Oak Ridge National Laboratory
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capabilities in experimental design, complex data analysis, technology and process development, and effective communication of findings through reports and presentations. Lead advanced research by applying
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computer needs for staff. Test and verify intermediate-level technology-based procedures and processes. Help plan, coordinate, manage, and maintain intermediate-sized projects under minimal direction
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respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A BS in computer science, data science, artificial intelligence, business analytics management
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applied mathematics and computer science, experimental computing systems, scalable algorithms and systems, artificial intelligence and machine learning, data management, workflow systems, analysis and
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, band saw, etc.). Basic proficiency with Microsoft Office (Excel/Word) for data entry and logging. Special Requirements: Work involves various physical requirements and working conditions. As such, a pre
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, measuring pH and other water chemistry parameters, preparing solutions, weighing). Familiarity with relevant analytical instrumentation and software. Strong computer skills for data entry, analysis (e.g
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post-production quality data against program-specific requirements and proactively identify process areas needing improvement or innovation. Deliver ORNL’s mission by aligning behaviors, priorities, and
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can lead computational and experimental activities using commercial codes to compare with experiments and also be able to develop new computational models and computer programs. The successful candidate
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, or CosmosWorks. Experience in hardware system integration (LabView, PLC programming, etc.) to control a mechanical system. Familiarity with computer programming languages like C, C++, Python, or MATLAB
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science discovery, the research will pursue development of data pipelines using automated workflows, creation of multi-modal databases and novel ML-approaches that allow integration of different theory