9 cloud-computing Postdoctoral positions at National Renewable Energy Laboratory NREL in United-State
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maintenance planning, hydro reservoir planning and storage cycle budget allocations. You will join a dynamic team of researchers developing cutting-edge computational tools to design and operate the next
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methods Prior experience with high-throughput experimental (combinatorial), data-drive, or AI/ML-assisted research methods and techniques. Active computer skills in programing (e.g. C or Igor Pro, Python
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Computer Science or related fields Experience in power system modeling, optimization, and control Experience in at least one of the power system software tools including OpenDSS, PSCAD, PSS/E Experience in at least
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to employment start date. Additional Required Qualifications Relevant Ph.D. or Ph.D. candidate in Electrical Engineering or Computer Science or related fields. Solid background in power systems dynamics and
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Posting Title Postdoctoral Researcher – Process modeling and sustainability analysis for plastics upcycling & biorefining . Location CO - Golden . Position Type Postdoc (Fixed Term) . Hours Per Week 40 . Working at NLR Join the National Laboratory of the Rockies (NLR), where world-class...
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biological, chemical, and catalytic research . The center has strong thrusts in polymer design and upcycling, separations, synthetic biology and bioconversion, analytical sciences, computational modeling, and
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Posting Title Postdoctoral Researcher – Process modeling and sustainability analysis for lignin valorization . Location CO - Golden . Position Type Postdoc (Fixed Term) . Hours Per Week 40 . Working at NLR NLR is located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's...
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graduate within the last three years. * Must meet educational requirements prior to employment start date. Additional Required Qualifications Relevant Ph.D. in Electrical Engineering or Computer
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a computational materials design team screening and developing biobased monomers, synthesizing samples, optimizing formulations, and characterizing properties. Candidates will collaborate with a large