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CCMNet Members

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Amira Kefi
University of Illinois at Chicago
  • reinforcement-learning
  • supervised-learning
  • unsupervised-learning
  • deep-learning
  • generative-ai
  • llm
  • machine-learning
  • neural-networks
  • cloud-computing
  • github
  • benchmarking
  • parallelization
  • natural-language-processing
  • molecular-dynamics
  • gatk
  • pytorch
  • distributed-computing
  • scripting

Skills

  • All (18)
  • (-) cloud-computing (1)
  • (-) gatk (1)
  • (-) pytorch (1)
  • benchmarking (1)
  • deep-learning (1)
  • distributed-computing (1)
  • generative-ai (1)
  • github (1)
  • llm (1)
  • machine-learning (1)
  • molecular-dynamics (1)
  • natural-language-processing (1)
  • neural-networks (1)
  • parallelization (1)
  • reinforcement-learning (1)
  • scripting (1)
  • supervised-learning (1)
  • unsupervised-learning (1)

User Skills

  • All (18)
  • (-) cloud-computing (1)
  • (-) gatk (1)
  • (-) pytorch (1)
  • benchmarking (1)
  • deep-learning (1)
  • distributed-computing (1)
  • generative-ai (1)
  • github (1)
  • llm (1)
  • machine-learning (1)
  • molecular-dynamics (1)
  • natural-language-processing (1)
  • neural-networks (1)
  • parallelization (1)
  • reinforcement-learning (1)
  • scripting (1)
  • supervised-learning (1)
  • unsupervised-learning (1)

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CCMNet was developed in response to the NSF RCN:CIP solicitation and is funded by NSF Award #2227656. These efforts bring novel structure and consistency to the development of the CIP workforce, enabling a more advanced CIP workforce better able to support today’s research needs, while anticipating future needs.


What is a CIP? CI Professionals is a term developed by the National Science Foundation (NSF). See Transforming Science through Cyberinfrastructure.

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