10 computer-"https:"-"https:"-"https:"-"https:"-"IMEC" Postdoctoral positions at National Renewable Energy Laboratory NREL
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team. The initial appointment is for one year, with possible renewal up to three years. We encourage interested candidates to see the following papers: https://pubs.rsc.org/en/content/articlehtml
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to guide experiments. For some sample publications by the group please visit the below links albeit please note this is more of an experimentalist position compared to characterization. https
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realistic biofuels. https://cbi.ornl.gov/ The successful candidate will work closely with the CBI Lignin Valorization team to conduct biorefinery analyses related to lignin valorization to fuels and
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group performs research to advance wave energy, tidal energy, ocean current energy, riverine energy, and ocean thermal gradient energy technologies (i.e., marine energy technologies) - see https
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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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laboratory environment, the intern will develop and validate computer vision pipelines — including semantic segmentation models — for automated site identification, sample quality assessment, and adaptive ion
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experience with handling scientific datasets, eg computer model simulations, observational data Excellent verbal and written scientific comminution skills. Demonstrated experience working with
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measurements Active computer skills in programing (e.g. LabView, C/Igor Pro, Python, Matlab, etc.), statistical data analysis, and/or software development Mentorship experience with undergraduate or
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(combinatorial) research methods and techniques. Active computer skills in programing (e.g., Python, LabView, C/Igor Pro, etc.), statistical data analysis, and/or software development. Good understanding of solid
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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