12 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "P" 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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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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at large scale. Primary Responsibilities Develop and implement novel mathematical optimization models (e.g., stochastic programming, robust optimization, mixed-integer linear programming) for medium-term
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one of the optimization solvers and platforms such as CPLEX, CVXPY, Pyomo, GAMS Proficiency in MATLAB or Python programming Preferred Qualifications Familiarity with microgrid, grid resilience, grid
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, REGFMB1, vendor-provided models) is a plus. Experience with software development in Python, C++, or other programming languages. Hands-on experience developing automated tools for accelerating contingency
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to: • Work safely and independently in a laboratory setting • Plan and execute research in collaboration with other researchers • Communicate scientific results effectively
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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