32 parallel-processing-"Computer-Vision-Center" Postdoctoral positions at National Renewable Energy Laboratory NREL
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to conduct research at the intersection of machine learning, computer vision, large-scale data analytics, and photovoltaic (PV) system performance . The successful candidate will join a
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Computational Science Center has an opening for a full-time Postdoctoral Researcher – Computational Sciences, with an emphasis on mathematical optimization and its application to the design and control of energy
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, or scripting. Proficiency in Python, including scripting for instrument control, data acquisition, or image processing. Experience with computer vision methods applied to scientific or engineering
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Photovoltaics group within the Materials Science Center at NLR. The group is made up of two teams that work on Silicon and III-V materials, the latter by hydride vapor phase epitaxy. The position focuses
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research and development with a focus on lab work to support lithium-ion-battery materials development projects and critical mineral/material separation and electrochemical processing projects. The
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Catalytic Carbon Transformation and Scale-Up Center is seeking a Postdoctoral Researcher to work on oleochemistry, catalysis, and product development. Our group’s mission is to de-risk and accelerate
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workflow orchestration systems into scalable autonomous experimentation platforms. Deploy the developed computer vision, robotics, and artificial intelligence methods to solve challenging materials
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Nanoscience Center to work in the area of PEM water electrolysis, specifically in the area of advanced and novel electrode development. This position will focus on membrane electrode assembly
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critical mineral extraction and processing projects for the Building Thermal Energy Sciences Group. The successful candidate will conduct advanced research focused on the extraction, recovery
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Chemistry and Nanoscience Center to work on low/ intermediate temperature (90-200oC) fuel cell development. This position focuses on improving performance, durability, and robustness to fuel sources