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of reactive force field molecular simulations, supervised machine learning techniques and understanding of mass spectrometry techniques. The post is available for 3 years from 1 September 2026. If you are still
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independently and as a team member within a research environment. Ability to work efficiently and effectively with computer software including Microsoft Office. Skilled with the use of aseptic mammalian cell
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learning, creating, discovering, and innovating, and are encouraged to learn from failure. Show Your Fire by joining our team and exhibiting your passion and pride in your work as part of our UNT System team
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Physical Demands and Work Environment Overview Candidates must be highly self-motivated, open to learning new techniques, and able to maintain excellent documentation of their results. Candidates must have
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control, network optimization, or joint communication and sensing is highly desirable. Experience with artificial intelligence, machine learning, reinforcement learning, or optimization techniques applied
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 1 month ago
Engineering, Systems Engineering, Data Science, or a closely related field Experience with artificial intelligence, machine learning, physics-informed neural networks, or reduced-order modeling (ROM
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 1 month ago
: Experience artificial intelligence, machine learning, digital twin technology, control systems, or computer simulation Point of Contact Cinnamon Eligibility Requirements Degree: Master's Degree or Doctoral
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the best interest of our communities. We are encouraged to Be Curious about opportunities for learning, creating, discovering, and innovating, and are encouraged to learn from failure. Show Your Fire by
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assets include strong programming skills, experience with modern machine-learning techniques such as neural simulation-based inference or transformer architectures, and familiarity with fitting methods and
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 7 hours ago
. Examples include: determination of high-resolution shape models using shape-from-shading or novel machine-learning methods; studies of high-resolution shape models for geophysical and geological studies