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environments. The appointment is for one year, renewable based on funding and performance. The focus is on building infrastructure for capturing observable traces of human-AI interactions and developing
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to carry out research on machine spatial reasoning. The appointment is for one year, renewable for a second year, given the availability of funds. The focus is on developing tools for characterizing
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associate to carry out research on machine spatial reasoning. The appointment is for one year, renewable for a second year, given the availability of funds. The focus is on developing tools for characterizing
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for the computational analysis of classical, multi-physics, engineered systems. The appointment is for one year, renewable for a second year given the availability of funds. The focus is on integrating state-of-the-art
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of the Order may be found at: https://www.directives.doe.gov/directives-documents/400-series/0486-1-border/@@images/file Application Instructions: Persons interested in the above position should submit a cover
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closely related field. Required Skills : Proficiency in Python/C and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow, or Keras). Interest in or prior experience with