198 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" "Univ" "UNIV" uni jobs at Oak Ridge National Laboratory in United States
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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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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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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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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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, 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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, 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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engage senior staff to act in this capacity. Be open, transparent, and timely in communicating information to section and to stakeholders. Work with Group Leaders to ensure staff are participating actively
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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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enrichment technology related components using 3D Computer Aided Design (CAD) software (SolidWorks). Create 2D drawings to be used for fabrication and communicate with staff and suppliers through
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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