28 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" 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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https://pubs.acs.org/doi/full/10.1021/acssuschemeng.5c0419 The successful candidate will be able to: Work safely and independently in a laboratory setting Learn new techniques and protocols Plan and
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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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consortium, and the Agile BioFoundry. https://bioesep.org/ http://bottle.org/ https://agilebiofoundry.org/ This position will work with a dynamic, multi-disciplinary experimental team and analysis will be
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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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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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enzyme activities and conduct directed evolution, structure-guided protein engineering, and machine learning-guided protein engineering studies to improve enzyme and pathway function. The ability
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to use various computer software programs. Researcher III Relevant PhD. Or, relevant Master's Degree and 3 or more years of experience . Or, relevant Bachelor's Degree and 5 or more years of experience
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for learning are critical in this role. This is an excellent opportunity for a candidate invested in the NLR mission who desires relevant laboratory experience in preparation for graduate school or a future
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reactor-scale simulations Knowledge of or experience with catalytic processes (modeling or experimental) Knowledge/experience with machine learning i.e. tensor flow/PyTorch . Job Application Submission