Kwiseon Kim

Kwiseon Kim Email and Phone Number

Learning with ModernSmart Inc. @ ModernSmart Inc.
Kwiseon Kim's Location
Austin, Texas, United States, United States
Kwiseon Kim's Contact Details

Kwiseon Kim work email

Kwiseon Kim personal email

Kwiseon Kim phone numbers

About Kwiseon Kim

Kwiseon Kim is a Learning with ModernSmart Inc. at ModernSmart Inc.. They possess expertise in physics, high performance computing, scientific computing, materials science, fortran and 18 more skills.

Kwiseon Kim's Current Company Details
ModernSmart Inc.

Modernsmart Inc.

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Learning with ModernSmart Inc.
Kwiseon Kim Work Experience Details
  • Modernsmart Inc.
    Academic Director
    Modernsmart Inc. Aug 2022 - Present
    New York, United States
    On-line Learning Platform
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  • National Renewable Energy Laboratory
    Senior Scientist
    National Renewable Energy Laboratory 1998 - Mar 2013
    Scientific Computing Group, Computational Sciences Center
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Kwiseon Kim Skills

Physics High Performance Computing Scientific Computing Materials Science Fortran Numerical Analysis Mathematical Modeling Nanotechnology Latex Nanomaterials Thin Films Computational Physics Simulations Science Mathematica Parallel Computing Numerical Simulation Mpi Spectroscopy Surface Chemistry Solar Cells Solid State Physics Quantum Chemistry

Kwiseon Kim Education Details

Frequently Asked Questions about Kwiseon Kim

What company does Kwiseon Kim work for?

Kwiseon Kim works for Modernsmart Inc.

What is Kwiseon Kim's role at the current company?

Kwiseon Kim's current role is Learning with ModernSmart Inc..

What is Kwiseon Kim's email address?

Kwiseon Kim's email address is kw****@****ail.com

What is Kwiseon Kim's direct phone number?

Kwiseon Kim's direct phone number is (303)-271*****

What schools did Kwiseon Kim attend?

Kwiseon Kim attended Case Western Reserve University, Yale University, Seoul National University, Northwestern University.

What skills is Kwiseon Kim known for?

Kwiseon Kim has skills like Physics, High Performance Computing, Scientific Computing, Materials Science, Fortran, Numerical Analysis, Mathematical Modeling, Nanotechnology, Latex, Nanomaterials, Thin Films, Computational Physics.

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