8 programming-"the"-"IMPRS-ML" Postdoctoral positions at National Renewable Energy Laboratory NREL
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from unit commitment to economic dispatch. Excellent expertise in computer programming or software development; Python is preferred Preferred Qualifications Familiarity with modeling renewables, and
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programming languages. Hands-on experience developing automated tools for accelerating contingency analysis is a plus. Strong analytical skills with the ability to process, interpret, and present technical
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independently in a laboratory setting Plan and execute research in collaboration with other researchers Communicate scientific results effectively, both in written and oral formats Author peer-reviewed
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industry, utility programs, and government entities. The successful applicant will be expected to publish relevant research outcomes in peer-reviewed scientific journals and must be comfortable working
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anaerobic bacterial species would be ideal for this position. The successful candidate will: Work safely and independently in a laboratory setting Plan and execute research independently and in collaboration
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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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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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. Experience with software development in a scientific environment using Python, Ruby, Julia, R, or C++. Experience programming in Python, Matlab or similar tools Strong interpersonal communication skills (oral