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Certifications/Licenses Required Knowledge, Skills, and Abilities Experience with AI-driven model updating and calibration of structural systems, including learning-based or optimization approaches Strong
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hierarchical and composite nanofiber systems with prescribed structures to optimize performance in targeted applications while expanding the fundamental understanding of nanofiber fabrication processes and their
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, screen optimization robots, plate imaging robots/hotel, walk-in plate incubator rooms, and rotating-anode home X-ray sources) within the Crystallography Core located in the Hockmeyer Hall of Structural
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data analysis using next-generation sequencing platforms (e.g., whole-genome, whole-exome, long-read sequencing). Develops, optimizes, and applies computational or laboratory pipelines for genomic data
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one or more of the following will be given priority: Cryo‑EM grid optimization, data collection (Krios/Glacios), and reconstruction workflows Structural analysis of dynamic/heterogeneous complexes
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foundations, focusing on the structure and complexity of quantum computational models; (ii) optimization and related graph-theoretic methods, using polyhedral geometry and algorithmic optimization (e.g., vertex
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of the experimental approach will include: Bayesian reconstruction of events on billion-year timescales, determination of optimal embeddings and encodings for protein structures, multiple structural alignments
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Argonne National Laboratory’s Accelerator Science Division is seeking a Postdoctoral Appointee to contribute to the development of a Sub- THz Collinear Structural Wakefield Accelerator
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characterize LNPs; optimize delivery to target cells; and evaluate therapeutic efficacy in relevant in vitro and in vivo models. Job Duties Works on projects under the direction of principal investigator (PI
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optimization schemes. From developing AI models to uncover structure-function relationships with limited data sets, to building automated electrode-electrolyte interface discovery workflows and implementing full