40 parallel-computing-numerical-methods-"Prof" positions at National Renewable Energy Laboratory NREL
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Posting Title Advanced Computing Operations Manager . Location CO - Golden . Position Type Regular . Hours Per Week 40 . Working at NREL NREL is located at the foothills of the Rocky Mountains in
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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
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lead one or more subprograms for its geothermal R&D program based at the NREL Golden Campus.The successful candidate(s) will be responsible for establishing and advancing geothermal research, development
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opportunities, and a competitive benefits package designed to support your career and well-being. Job Description The Advanced Computing Solutions group in the NREL Computational Science Center has an opening
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applied laboratory methods that can be leveraged in advanced academic or professional settings. To view the LAPs please click here . . Basic Qualifications Minimum of a 3.0 cumulative grade point average
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. Leverage first aid certifications (First Aid/AED/CPR), FEMA/NIMS incident command methods and follow emergency management during emergencies. Respond to life safety alarms via Emergency Notification System
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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
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programming and architecture abilities with various computer software programs and information systems. High level of experience in technical, administrative, functional, and development aspects Oracle EPM
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large quantities of real-world travel activity and vehicle driving data, and potentially leverage high-performance computing resources for larger scale analyses. Work with existing Generalized Transit
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that will be valuable for this position include computational modeling of enzymes, biophysical characterization techniques, and bioinformatics methods. The successful candidate will be able to work