7 software-engineering-model-driven-engineering-phd-position Postdoctoral positions at Argonne
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projects in artificial intelligence, materials engineering, chemistry, and beyond at Argonne National Laboratory. Position Requirements Recently completed PhD within the last 0-5 years in computer science
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for this postdoctoral position to work on development and scaling of the data infrastructure and software for AI applications on supercomputing systems and AI testbed systems. The postdoc will work on multimodal data
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Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of physics—ideally in accelerator science or engineering—or a closely related field Demonstrated experience or strong interest
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, LDAV, eScience, ISC, SC) Contribute software, prototypes, and design patterns to shared research infrastructure at ALCF and across DOE projects This postdoctoral position directly supports ALCF’s mission
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validation datasets Integrate surrogate models into workflows to predict bias-driven structural and electronic evolution Design and execute high-throughput calculations; build and manage curated materials
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total X-ray scattering (TXS) and pair distribution function (PDF) analysis capabilities and methodology to study laser-driven structural dynamics in functional materials. This position is part of a
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manuscript to be submitted). Position Requirements This level of knowledge is typically achieved through a formal education in electrical engineering, mechanical engineering, physics, or a related field at the