13 parallel-programming Postdoctoral research jobs at National Renewable Energy Laboratory NREL
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processes Laboratory experiments and data acquisition systems Numerical modeling techniques and computer programming Experience programming in Engineering Equation Solver (EES), MATLAB, Python, or similar
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, etc. and have experience with the FORTRAN, C++ and Python programming languages and be comfortable working in high performance computing environments. Preferred Qualifications . Job Application
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to: - Work safely and independently in a laboratory setting - Plan, execute, and troubleshoot research - Collaborate effectively with others within and across disciplines
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to: • Work safely and independently in a laboratory setting • Learn new techniques and protocols • Plan and execute research in collaboration with other researchers • Communicate scientific results
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or uncertainty) PhD degree in chemical engineering or related field Preferred Qualifications Demonstrated experience with programming languages, such as Python or R Demonstrated experience with LCA tools, such as
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Demonstrated experience with programming codes such as Python or R Demonstrated experience with LCA tools such as openLCA or SimaPro Understanding of biomass conversion research and processes Relevant experience
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, conceptualize plans, and interpret data Work with senior staff to plan and design research projects to advance decarbonization technologies, define relevant technical objectives, and interact with and provide
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be able to: • Work safely and independently in a laboratory setting • Plan and execute research in collaboration with other researchers • Synthesize and characterize polymer precursors and
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overcome major technical hurdles to advance commercialization. The successful candidate will be able to: Work safely and independently in a laboratory setting. Plan and execute research in collaboration with
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of bio-based polymers from cellulosic sugars. The successful candidate will be able to: Work safely and independently in a laboratory setting Plan and execute research in collaboration with other