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CCMNet Members

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Ana Marija Sokovic
University of Illinois at Chicago
  • ai
  • deep-learning
  • generative-ai
  • llm
  • machine-learning
  • NAIRR-pilot
  • neural-networks
  • reinforcement-learning
  • supervised-learning
  • unsupervised-learning
  • big-data
  • data-analysis
  • finite-element-analysis
  • monte-carlo
  • visualization
  • plotting
  • random-numbers
  • vectorization
  • data
  • data-lifecycle
  • data-management
  • data-sharing
  • file-system
  • file-transfer
  • github
  • github-pages
  • globus
  • quota
  • s3
  • sftp
  • storage
  • workflow
  • benchmarking
  • checkpoint
  • core-dump
  • cpu-bound
  • debugging
  • IO-issue
  • memory
  • optimization
  • parallelization
  • performance-tuning
  • profiling
  • scaling
  • tuning
  • amber
  • fluid-dynamics
  • gaussian
  • gromacs
  • lammps
  • molecular-dynamics
  • namd
  • natural-language-processing
  • pytorch
  • tensorflow
  • open-ondemand
  • cluster-support
  • cpu-architecture
  • distributed-computing
  • DNS
  • file-systems
  • gpfs
  • gpu
  • hardware
  • hpc-storage
  • lustre
  • networking
  • nvidia
  • unix-environment
  • bash
  • cleanup
  • environment-modules
  • git
  • modules
  • os
  • permissions
  • screen
  • scripting
  • ssh
  • vim
  • ACCESS
  • ACCESS-account
  • ACCESS-allocations
  • ACCESS-credits
  • ACCESS-website
  • adding-users
  • allocation-management
  • campus-champions
  • mentorship
  • professional-development
  • training
  • c
  • conda
  • cuda
  • gcc
  • jupyterhub
  • matlab
  • mpi
  • openmp
  • openmpi
  • programming
  • python
  • r
  • rstudio-server
  • scikit-learn
  • spark
  • batch-jobs
  • core-hours
  • job-submission
  • slurm
  • artificial-intelligence
  • bioinformatics
  • computer-science
  • data-science
  • mechanical-engineering
  • vpn
  • centos
  • dependencies
  • easybuild
  • interactive-mode
  • kubernetes
  • singularity

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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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