38 computer-vision research jobs at National Renewable Energy Laboratory NREL in united-states
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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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computing, machine learning and/or deep learning. Strong collaboration skills—thrives working in a collaborative team environment but is comfortable working independently when necessary. Attention to detail and
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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
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Posting Title Postdoctoral Researcher – Computational Modeling of Phase-Changing Flows . Location CO - Golden . Position Type Postdoc (Fixed Term) . Hours Per Week 40 . Working at NREL The National
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believe they have the skills and ambition to succeed at NREL to apply for this role. Job Description The Complex Systems Simulation and Optimization (CSSO) Group in the NREL Computational Science Center has
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they have the skills and ambition to succeed at NREL to apply for this role. Job Description Multiple postdoctoral researcher positions are available in NREL’s Materials, Chemical, and Computational Science
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on geothermal energy systems and infrastructure. Work carried out will support R&D and decision-maker support activities within the NREL geothermal program using analysis methodologies such as geologic
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computational fluid dynamics (CFD, e.g., OpenFOAM) methods and/or reduced order numerical modeling tools (e.g., WEC-Sim or OpenFAST). The candidate will work with a team of engineers at NREL to carry out research
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procedures for safe operation of equipment must be followed. Please see more about our Postdoc experience in the Materials, Chemical and Computational Science Directorate and NREL https://www.youtube.com/watch
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the Agile BioFoundry project to conduct modeling of metabolic pathways, computational systems biology, and machine learning towards the production of renewable chemicals from biomass-derived sugars in