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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
, large-scale computational science, and simulation of networked physical systems Familiarity with techniques for sensitivity analysis and handling high-dimensional problems Experience in power grid
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., transient absorption and emission), including laser operation, optical alignment, detector interfacing, and data analysis Excellent written and verbal communication skills Ability to model Argonne’s core
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for such models include high-resolution 3D imaging, time-resolved materials characterization, and atomic structure determination. Scientific instrument data is often multimodal in nature and developing DL models
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detector projects at Jefferson Lab and towards the Electron-Ion Collider, with some flexibility to pursue your own research interests. We seek candidates with a background in experimental nuclear or high
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the publisher: Tiny Chip-Based Device Performs Ultrafast Modulation of X-Rays.) 3. J. Zhou et al ., Picosecond Synchrotron Pulse Shaper on-Chip, arXiv:2211.03567, http//arxiv.org/abs/2211.03567. (Revised
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Responsibilities: Design and fabricate membranes using a variety of layered materials Perform detailed structural and chemical characterization to evaluate membrane properties Utilize techniques such as SEM, TEM
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performs world-leading research in nuclear structure, nuclear astrophysics, fundamental symmetries, and nuclear data. The Group also manages and operates world-class detector systems as part of the ATLAS
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simulation laboratory as well as supporting ongoing DOE projects. Candidates will be required to work in at least 4 of the following areas: Develop a functioning test bed using Opal-RT PHIL real-time platform
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monitoring and control technologies applicable to molten salt and liquid metal systems Develop and test new materials and cell configurations for the production of salt and metal products. Perform experiments
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The Advanced Photon Source (APS) at Argonne National Laboratory invites applications for a postdoctoral position focused on developing novel computational approaches for multi-modal biomedical image