12 computer-science-image-processing Postdoctoral research jobs at National Renewable Energy Laboratory NREL
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experience with process modeling with Aspen Plus Demonstrated experience with statistical analysis (i.e. sensitivity or uncertainty) PhD degree in chemical engineering or related field Preferred Qualifications
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with process modeling with Aspen Plus Demonstrated experience with doing statistical analysis (ie sensitivity or uncertainty) PhD degree in chemical engineering or related field Preferred Qualifications
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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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. Collaborate with a multidisciplinary team of engineers, computer scientists, and data scientists to put research insights into open-source software products. Publish research findings in leading academic
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the Chemical Catalysis and Reaction Engineering group. Our group is conducting research to enable cost-effective processes for biomass and waste feedstock conversion and chemical recycling of waste plastics
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Science group. Our group is conducting research to enable realistic, cost-effective processes for biomass and waste feedstock conversion and chemical recycling of waste plastics. The initial appointment is
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the Separations Science group. Our group is conducting research to enable cost-effective processes for biorefineries. The initial appointment is for one year, with possible renewal for up to three years
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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 - Polymer Science . Location CO - Golden . Position Type Postdoc (Fixed Term) . Hours Per Week 40 . Working at NLR NLR is located at the foothills of the Rocky
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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