94 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" positions at Oak Ridge National Laboratory
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team, you will support research tasks related to optimizing codes for scaling foundation models training, fine-tuning to other downstream tasks, lead polygonization of building footprint vector
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Components (SSCs). Performs calculations and interprets industry code to support design development. Provides project management for installation of mechanical design changes. Provides engineering support for
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., code interpreters, simulation frameworks, databases, lab instruments) and evaluation for long-horizon tasks. Experience with RL and post-training (reward modeling, preference learning, offline/online RL
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and clustered computing services to researchers who process large data sets and/or develop code as a part of their project. Ensure the availability, performance, scalability, and security of production
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and clustered computing services to researchers who process large data sets and/or develop code as a part of their project. Ensure the availability, performance, scalability, and security of production
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tomography Familiarity with coding for data analysis in languages such as Python, Matlab, etc. Ability to qualify for a security clearance Excellent written and oral communication skills. Motivated self
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the ability to work both independently and collaboratively. Preferred Qualifications: Active DOE Q clearance. Experience with low-code/no-code tools and Microsoft Power Apps. Familiarity with generative AI
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management and DOE Order 413.3 where applicable. Support proposal development, contract negotiations, and program reviews. Champion ORNL’s Research Code of Conduct and foster a culture of excellence
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software for scale-bridging and physics coupling in multiscale and multiphysics simulation codes for materials science and plasma-material interactions in fusion energy systems. You will also advance
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staff members who are committed to world-class R&D and aspire to be the best in their field. Lead by example by exercising the principles in ORNL’s “Research Code of Conduct” as a guide for proposing