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Field
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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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& Benefits Orientation for Post-Doctoral Fellows | University of Colorado https://www.cu.edu/employee-services/benefits-wellness/new-employee/pbo/post-doc · benefits guide cover-post-doc-2024 https
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(https://www.classique.aau.dk). CLASSIQUE will address a suite of fresh research challenges defined by the intersection of digital applications that have real-time requirements and quantum resources
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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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at https://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under the supervision of a faculty mentor including (but not limited to): Conduct research to collect and analyze data on biological rhythms and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
information on past publications and ongoing research projects is available here: https://www.sebastianlab.online/ and here: www.miyukihino.com. This position will be responsible for a wide range of research
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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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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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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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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