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such as econometrics and cost modeling. Familiarity with techno-economic analysis and material flow analysis. Demonstrated experience in supply chain mapping, risk assessment, and scenario analysis
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phenomena Create new reduced-order models and submodels related to fluid flow, heat transfer, thermochemistry, and electrochemistry in multiphase systems Use modeling tools such as computational fluid
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Position Requirements • Recent or soon-to-be-completed PhD (within the last 0-5 years) in the field of organic, organometallic, or inorganic chemistry, or a related field • Ability to model Argonne’s core
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of the protein expression platforms, currently utilizing E. coli and mammalian cell lines, to onboard other microbial systems (e.g., fungi), insect-cell (baculovirus) systems, plant-based expression (in planta
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engineering and nuclear-chemical engineering systems Create new reduced-order models and submodels related to the fluid flow, heat transfer, thermochemistry, and electrochemistry in multiphase systems Use
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-sensitive catalyst materials Experience with the design and construction of batch and flow reactors for catalysis Proficiency with analytical techniques such as X-ray absorption spectroscopy, nuclear magnetic
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models that combine T&D objectives (e.g., power flow limits, resilience) with aggregator/market participation; evaluate how microgrids and VPPs can offer services while ensuring reliable local operation
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, and optimize for energy efficiency HPC applications and high performance data stream analytics workloads. Use of novel accelerator designs, and automatic methods to model/predict how performance would
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the reconstruction methods currently in use. The successful candidate will contribute to these advancements, developing new computational methods to enhance the imaging of dynamic processes. This work
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the Argonne site, but occasional travel and some overtime/nighttime may be required. Ability to work independently with minimal direction in day-to-day research tasks Ability to model Argonne's core values of