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Field
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implement new computational and statistical methods. Create, test, and use relevant computer code (R, Python, SQL or equivalent). Maintain, modify, and execute analytic machinery that results. Draft
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++ and Python are required. Experience with control and optimization of power generation systems (e.g., wind power) is desirable but not required. Some experience with real-time control hardware is
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Associate, Lovejoy Center Posting Number req24906 Department AZ Inst for Resilience Department Website Link https://lovejoycenter.arizona.edu/ Location Main Campus Address Tucson, AZ USA Position Highlights
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in causal inference ● Minimum of 2 years’ experience in statistical software R, Python or equivalent Preferred Qualifications: ● Experience with development of R packages or other
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(https://atomicfilmslab.org) and will work closely with the computational, device, and simulation teams, as well as with the education and mentorship teams comprising ASWESOME. This position will inform
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St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Additional information can be found at https://schoolofpublichealth.washu.edu/ and https://environment.washu.edu/ . Trains
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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
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skills, e.g. Python and/or a major language in the C family, are required. Familiarity and/or strong interest in mastering deep learning is essential. The position is based in Utica, NY. Job
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are proficiency in Python, deep learning frameworks such as Keras, PyTorch, TensorFlow, or other related software stacks, and a solid background in machine learning, cybersecurity, or AI robotics, and the ability
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
methods for factuality/hallucination testing, robustness, calibration, bias/fairness, and/or adversarial stress-testing. - Solid programming and ML/NLP engineering skills in Python and ideally modern deep