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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
Knowledge in modeling and algorithms for large-scale ordinary differential equations (ODEs) and differential-algebraic equations (DAEs) Proficiency in a scientific programming language (e.g., C, C++, Fortran
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PhD level with zero to five years of employment experience. Expertise in testing, characterizing, and measuring MEMS devices and designing feedback loops and control algorithms for the precise operation
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within the last 0-5 years) in computational science, mathematics, physics, or a related field with a focus on image processing. Proven experience in algorithm and software development. Expertise in Python
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encompass: Catalysts Synthesis: Utilize your expertise in materials synthesis to develop novel catalysts guided by machine learning algorithms Catalyst Performance Evaluation: Utilize aqueous electrochemical
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position to develop and apply advanced analysis methods, including artificial intelligence and machine learning algorithms and approaches, for x-ray science and instruments. These methods will accelerate
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. Experience with uncertainty quantification and multi-modal deep learning. Experience with distributed training. Skill in written and oral communications. Experience interacting with scientific staff and
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infrastructure leveraging Aurora’s storage system, DAOS, a Distributed Asynchronous Object Storage system, to meet the needs of AI-driven applications. Another goal would be to evaluate vector databases and
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The High Energy Physics (HEP) Division at Argonne National Laboratory invites applications for a Staff Physicist position. We are seeking outstanding candidates to contribute to our collider experiment research program, particularly in the ATLAS experiment. The successful candidate is expected...
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The Particle Theory Group of the High Energy Physics Division at Argonne National Laboratory invites applications for a position at the rank of Assistant Physicist, equivalent to a university tenure-track Assistant Professor position. Depending on experience, an appointment at a higher rank...
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The Applied Materials Division (AMD) at Argonne National Laboratory is seeking to hire a postdoctoral appointee for assessing the performance and durability of polymeric ion-exchange membranes used in electrodialysis for lithium capture from recycled streams and processed ores. The individual...