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The Center for Nanoscale Materials (CNM) at Argonne National Laboratory is seeking postdoctoral researchers to work on distributed quantum computing. The project aims to develop superconducting
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heterointegration with other materials for developing energy efficient devices. The postdoctoral candidate will be a part of highly collaborative research team focusing on the synthesis and characterization aspect of
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systems is essential Ability to program in C++ and Python languages would be an asset Considerable skill in written and oral communication is a requirement Ability to model Argonne’s Core Values: Impact
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of the models’ pre-processing, optimization, and post-processing steps. The candidate would also be expected to lead, and in some instances, support the development of additional modeling and analysis
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, interface engineering, process development, cell assembly and testing. The candidate is expected to develop new processes to fabricate electrodes, characterize electrodes and cells, and understand degradation
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years. It has developed the GREET® (Greenhouse gases, Regulated Emissions, and Energy use in Technologies) model for estimating energy use, air emissions, and water consumption on a life-cycle basis for
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innovative project aimed at enhancing global and domestic supply chain resilience through the development of advanced supply chain analytical tools. The role will require ability to understand and integrate
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(CEEESA) within the Energy Systems and Infrastructure Analysis (ESIA) Division at Argonne. In this role, the candidate will lead the development of public-facing software for techno-economic analysis (TEA
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computational science expertise. The ALCF has an opening for a postdoctoral position with our scientific visualization and analysis team. The focus is on developing innovative methods for intuitive and adaptive
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the area of developing large-scale foundation models for advancing science. In this role, you will work on the AuroraGPT project, an ambitious new initiative at Argonne that aims to revolutionize scientific