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Skills

r python sql xml programming-best-practices rstudio-server anaconda research-grants publication-database project-management community-outreach training workforce-development x11 vim ssh git bash unix-environment samba nfs networking smb administering-hpc computational-chemistry biology data-science genomics materials-science physiology quantum-mechanics gromacs molecular-dynamics namd opencv charmm bioinformatics amber data-sharing data-reproducibility data-retention data-transfer data-wrangling doi file-formats github metadata sftp data-management-software backup machine-learning image-processing data-analysis gcc database darwin documentation DNS

Interests

database neural-networks deep-learning data-analysis ai machine-learning data-access-protocols data-reproducibility data-sharing doi file-formats github sftp workflow amber charmm bioinformatics gromacs lammps molecular-dynamics namd natural-language-processing opencv computational-chemistry biology genomics data-science physiology quantum-mechanics administering-hpc networking unix-environment ssh permissions vim x11 project-management community-outreach software-carpentry workforce-development anaconda compiling fortran java jupyterhub programming-best-practices python r rstudio-server sql xml encryption data-compliance cybersecurity version-control dependencies interactive-mode software-installation

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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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