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in the lab. · Computational biology: Perform bioinformatic analyses, including RNAseq analysis, genome sequence alignment, phylogenetic tree creation, and protein structure prediction
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for Microelectronics” —a physics-informed AI framework that links composition, structure, and operating conditions to defect evolution and functional performance. The successful candidates will lead experimental
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understanding of reaction kinetics, thermodynamics, and structure-reactivity relationships in catalytic systems. •Demonstrated experience with agentic AI, including automated data curation, ML model integration
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engineering to measure the structural and dynamic properties of individual biomolecules using spectroscopic techniques such as single-molecule Forster Resonance Energy Transfer (FRET) and cryogenic electron
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: - Comprehensive understanding of applied computational materials science, including electronic structure methods and molecular dynamics. - Experience with High-Performance Computing (HPC) systems and intelligent
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structure, which includes accounting, purchasing, personnel, PI support, building management and three service centers. Our annual budget is $9.5 million, primarily from federal research and training grants
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processing equipment development. The ideal candidate will have experience applying domain knowledge in materials science and engineering as well as machine design and construction to create, with our great
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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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university colloquia, seminars, MMS team meetings, and other scientific gatherings. Develop a structured mentoring plan in consultation with the supervising faculty member. Attend and contribute to weekly
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on innovative device fabrication for quantum technologies. Strong interest in construction of novel devices is essential. The position is funded as a post-doctoral fellowship with a minimal term of two years