28 Computer Science Postdoctoral positions at National Renewable Energy Laboratory NREL in america
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or classwork related to energy systems with design and computational model analysis using engineering software will be necessary. Strong background in computational fluid dynamics (CFD) and design software using
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believe they have the skills and ambition to succeed at NREL to apply for this role. Job Description The Communities and Urban Science Research Group in the Building Technologies and Science Center at NREL
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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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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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visualization, web design, and/or engineering computing. Strong collaboration skills—thrives working in a collaborative team environment but is comfortable working independently when necessary. Additional
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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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, 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
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developing a novel technology based on thermomagnetic effect for ocean thermal energy conversion. General Duties and Responsibilities: The successful candidate should have a strong background in heat transfer
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Enabling Sciences Center. The successful candidate will be able to: Develop and apply state-of-the-art computational tools to study rare events processes, particularly nucleation from solution Design and