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learning to engineering problems. Experience developing software packages, tools, and data sets for public use. Ability to synthesize effective data visualizations to communicate results from complex data
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The Scientific Software Engineering & Data Management Group in the X-Ray Science Division (XSD) at the Advanced Photon Source (APS) (https://www.aps.anl.gov/) invites applicants for a postdoctoral
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successful applicants must provide proof of U.S. citizenship, which is required to comply with federal regulations and contract. Preferred Qualifications: Proficiency in GIS software and tools, with experience
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for stationary and transportation applications. The candidate will work in developing analytical techniques and software relevant to ongoing programs in water electrolysis for hydrogen production; interpreting
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for stationary and transportation applications. The candidate will work in developing analytical techniques and software relevant to ongoing projects in fuel cells for heavy-duty applications; interpreting
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computing and software development on HPC systems Ability to conduct independent research and demonstrated publication record in peer-reviewed journals and conferences Effective communication skills, both
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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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software. (Preferred) Experience with nanofabrication, transport measurements, thin film deposition, in-situ TEM transport measurements. Ability to model Argonne’s core values of impact, safety, respect
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-friendly software interfaces that enhance data accessibility of data and insight for diverse stakeholders. Facilitate ongoing communications and foster relationships with a broad array of stakeholders
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area of foundation model development listed above Experience with machine learning methods and deep learning frameworks such as PyTorch Knowledge of software development practices and techniques