86 computer-programmer-"https:" "https:" "UNIS" "https:" "https:" "https:" "https:" "UCL" positions at National Renewable Energy Laboratory NREL
Sort by
Refine Your Search
-
of NLR’s technical research areas to partners’ energy-related needs, collaborating with Center Directors (CDs), Laboratory Program Managers (LPMs), and other NLR leadership to align partnership activities
-
Bachelor's, Master's or PhD degree program, or graduated in the past 12 months from an accredited institution. Candidates who have earned a degree may work for a period not to exceed 12 months. Must have a
-
translate research requirements into reproducible, secure, and high-performance computing environments. Key Research Responsibilities: Network Engineer IV Lead the architecture, deployment, and evolution
-
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 Undergraduate: Earned a bachelor’s
-
program of comparable scope and 2 or more years of experience or equivalent relevant education/experience. Considerable knowledge of specialized focused business support functions. Complete understanding
-
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 Undergraduate: Earned a bachelor’s
-
practices related to specific field. Excellent leadership, communication, problem solving and project management skills. Ability to use various computer software programs. Researcher III Relevant PhD
-
to use various computer software programs. Researcher III Relevant PhD. Or, relevant Master's Degree and 3 or more years of experience . Or, relevant Bachelor's Degree and 5 or more years of experience
-
practices related to specific field. Excellent leadership, communication, problem solving and project management skills. Ability to use various computer software programs. Researcher III Relevant PhD
-
methods Prior experience with high-throughput experimental (combinatorial), data-drive, or AI/ML-assisted research methods and techniques. Active computer skills in programing (e.g. C or Igor Pro, Python