45 assistant-professor-and-human-computer-interaction Postdoctoral positions at Argonne
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of the devices, and designing and executing time-resolved X-ray experiments with MEMS-based X-ray optics. We are seeking highly motivated candidates to drive the project in an independent manner while interacting
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-throughput workflows for data acquisition and analysis Contribute to on-the-fly data processing and integration with computational tools Collaborate with multidisciplinary teams in nanofabrication
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their relationship to topology in a variety of materials exhibiting out-of-plane component of magnetization. Here the target materials are those with interfacial DMI (e.g.: Co/Pt multilayers) and chiral
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reduction approaches and systems will be developed and implemented that operate close to instruments at the edge, and that leverage high-performance computing environments when needed. This position will be
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to the development of new research directions aligned with program goals. Position Requirements Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years) in Chemical Engineering, Materials
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detectors while also having flexibility to pursue your own research interests. Research Focus Participate in a detector R&D program aimed at developing superconducting nanowire sensors to enable
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communication interfaces between Opal-RT, edge computing devices, OEM inverter using protocols like UDP, CAN, DNP3 etc. Aid with project management activities for DOE projects and developing safe operating
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The Computational Science Division (CPS) at Argonne National Laboratory (near Chicago, USA) is seeking a postdoctoral researcher to enable exascale atomistic simulations of ferroelectric devices
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We invite applications for a Postdoctoral Appointee to contribute to a growing research program in process systems modeling and optimization for clean energy, critical materials, and advanced
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phenomena Create new reduced-order models and submodels related to fluid flow, heat transfer, thermochemistry, and electrochemistry in multiphase systems Use modeling tools such as computational fluid