40 computer-vision positions at National Renewable Energy Laboratory NREL in United States
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Posting Title Business Support Professional II- Materials, Chemical and Computational Sciences . Location CO - Golden . Position Type Regular . Hours Per Week 40 . Working at NREL The National
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various computer software programs. * Must meet educational requirements prior to employment start date. Additional Required Qualifications Demonstrated experience securing distributed critical
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believe they have the skills and ambition to succeed at NREL to apply for this role. Job Description The High Performance Algorithms and Complex Fluids (HPACF) Group in the NREL Computational Science Center
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graduate within the last three years. * Must meet educational requirements prior to employment start date. Additional Required Qualifications PhD in Computer Science, Computer Engineering, Computational
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computing, and advanced choice modeling techniques are encouraged to apply. Relevant areas of research the candidate will be working on include: (i) Travel demand modeling, (ii) Econometric and statistical
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believe they have the skills and ambition to succeed at NREL to apply for this role. Job Description The NREL Materials, Chemical and Computational Science (MCCS) directorate has an immediate opening for a
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battery recycling consortium. The successful candidate will work closely with the Chemistry and Nanoscience Center, the Materials Science Center, the Computational Sciences Center and the leadership and
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. Assist in project management, including report writing, paper publications, and presentations in program review or conferences. Desired Knowledge, Skills, and Abilities: The researcher has the opportunity
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, synthetic biology and bioconversion, analytical sciences, computational modeling, and lignocellulosic chemistry and catalysis. A postdoctoral researcher role is available in NREL’s Renewable Resources and
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requirements prior to employment start date. Additional Required Qualifications Knowledge or classwork related to energy systems with design and computational model analysis using engineering software will be