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for holotomography and to perform dynamic experiments using the Projection X-ray Microscope (PXM) instrument for studying microelectronics. As part of a collaborative team, the successful candidate will participate in
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
modeling of large-scale dynamics in networks. This role involves creating large scale models of dynamic phenomena in electrical power networks and quantifying the risk of rare events to mitigate
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nature of work but is not intended to be a comprehensive list of all activities, duties and responsibilities required. Develop and implement power system modeling tools, with emphasis on simulation and
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MSD’s Nanoscale Magnetic and Electronic Heterostructures Group requires expert technical assistance on in-situ electron microscopy characterization of switching dynamics in ferroelectric oxides and
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closely related fields. Experience in some of the following topics: isotope analysis, mass spectrometry, laser spectroscopy, laser cooling and trapping of neutral atoms, non-linear optics, and ultra-high
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to contribute to cutting-edge research in catalysis, with a focus on stimulus-driven catalysis and non-equilibrium effects. In this role you will: Conduct research as part of a multidisciplinary team in
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this work we investigate how molecular materials coupled to solid-phase scaffolds may influence molecular motion, photoinduced kinetics, charge dynamics, and assembly durability. The work will target
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methods and software for the analysis and calibration using very large data sets resulting from dynamical simulations on high-performance computing resources. Application areas include : 1. Epidemiology, 2
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dynamics (CFD) to develop and optimize new processes and equipment designs using high-performance computing Analyze data, prepare manuscripts for submission to peer-reviewed publications, prepare technical
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contributions in: Building novel generative models for predicting genome-scale evolutionary patterns using GenSLMs Developing scalable models that can, when integrated with high throughput molecular dynamics