20 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Plymouth" research jobs at National Renewable Energy Laboratory NREL
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to see the following publications for some context: https://pubs.rsc.org/en/content/articlehtml/2024/gc/d4gc00765d https://pubs.rsc.org/en/content/articlehtml/2024/gc/d4gc04533e https
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will continue to build from our learnings. https://pubs.rsc.org/en/content/articlelanding/2025/gc/d5gc01813g https://pubs.rsc.org/en/content/articlehtml/2018/gc/c7gc03747c https://pubs.rsc.org/en/content
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years. This position will work primarily on a Center for Bioenergy Innovation (CBI) project, in which we are developing new approaches to cost-effectively convert biomass into realistic biofuels. https
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Posting Title Post-Undergraduate/Graduate (Year-Round) Data Engineering Intern . Location CO - Golden . Position Type Intern (Fixed Term) . Hours Per Week 40 . Working at NLR NLR is located
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Laboratory of the Rockies (NLR) is seeking is seeking a motivated and detail-oriented post-undergraduate intern for a 9-month, full-time position. To learn more about our research click here: https
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than 50 miles from NLR). Additional Required Knowledge Skills and Attributes Please note that your application will be considered incomplete if submitted without the required information, and will not be
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-disciplinary teams on projects involving hardware/software security, supply chain assurance, and system integration Be able to write scripts and develop applications to automate data collection, processing, and
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assaying enzymes from full metabolic pathways, developing high-throughput enzymatic assays for pathway validation, and working with data scientists to develop efficient cell-free production pathways
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the BEST directorate at the National Laboratory of the Rockies (NLR) is seeking an summer undergraduate or post-undergraduate research intern to perform computational modeling and data analysis to enable
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researchers, policymakers, and industry leaders solve some of the world's most pressing energy challenges. This role focuses on turning complex scientific energy models and data into robust, user-friendly