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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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performs world-leading research in nuclear structure, nuclear astrophysics, fundamental symmetries, and nuclear data. The Group also manages and operates world-class detector systems as part of the ATLAS
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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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, 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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lithography to fabricate new testing platforms to measure the hydroxide ion conductivity of thin film anion exchange polymer electrolytes. The candidate will be expected to make water uptake measurements in
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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
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Julia, Python, R, or other scientific programming languages. Experience developing software packages, tools, and data sets for public use. Ability to synthesize effective data visualizations
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. Successful candidates will work closely with other team members to gather requirements, design and implement software for complex modeling, simulation, and data analysis, and deliver detailed documentation