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Demonstrated experience with programming languages, such as Python or R Demonstrated experience with LCA tools, such as openLCA or SimaPro Understanding of biomass conversion research and processes Relevant
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chromatography and liquid-liquid extraction Experience with automated control systems. Familiarity with Aspen Plus software, Python, thermodynamics, and general chemical purification techniques. Familiarity with
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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
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Demonstrated experience with programming codes such as Python or R Demonstrated experience with LCA tools such as Brightway, openLCA or SimaPro Understanding of biomass conversion research and knowledge
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with data center modeling is a plus. Hands-on experience with new IBR models (e.g., WECC REGFMA1, REGFMB1, vendor-provided models) is a plus. Experience with software development in Python, C++, or other