12 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" Postdoctoral positions at National Renewable Energy Laboratory NREL
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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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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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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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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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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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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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(40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex
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. Collaborate with a multidisciplinary team of engineers, computer scientists, and data scientists to put research insights into open-source software products. Publish research findings in leading academic
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information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and
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methods Prior experience with high-throughput experimental (combinatorial), data-drive, or AI/ML-assisted research methods and techniques. Active computer skills in programing (e.g. C or Igor Pro, Python