64 computer-science-programming-languages-"St"-"ST" positions at National Renewable Energy Laboratory NREL
Sort by
Refine Your Search
-
. Basic Qualifications Minimum of a 3.0 cumulative grade point average. Undergraduate: Must be enrolled as a full-time student in a bachelor’s degree program from an accredited institution. Post
-
programming and architecture abilities with various computer software programs and information systems. * Must meet educational requirements prior to employment start date. Additional Required Qualifications 7
-
Degree or certification program of comparable scope in construction, mechanical or electrical technology and 4 or more years of experience or equivalent relevant education/experience. Full knowledge
-
and project management skills. Skilled in analytical techniques, practices and problem solving. Advanced programming, design and analysis abilities with various computer software programs and
-
solving skills. Good written and verbal communication skills. Ability to use various computer software programs. * Must meet educational requirements prior to employment start date. Additional Required
-
Engineering or Computer Science or related fields. Strong background in power systems modeling and simulation. Advanced modeling expertise in power systems modeling and simulations of grid system scheduling
-
a Bachelor’s or Master’s program in Computational Biology, Bioinformatics, Chemistry, Computer science or a related field, OR currently enrolled in a PhD program in these fields Experience with
-
assurance program, and oversees the analysis of NLR and Alliance internal control risks and compliance exposures and provides mitigation recommendations to the Assistant Controller Financial Reporting
-
program from an accredited institution. Post Undergraduate: Earned a bachelor’s degree within the past 12 months. Eligible for an internship period of up to one year. Graduate: Must be enrolled as a full
-
distributed computing for EMT simulations. • Experience with software development in Python, C++, or other programming languages. • Familiarity with GPU acceleration of numerical solvers, parallel sparse