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position to work on development and scaling of the data infrastructure and software for AI applications on supercomputing systems and AI testbed systems. The postdoc will work on multimodal data management
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Laboratory. This is an opportunity to be part of a team helping with the design of new system software and runtime infrastructure to improve the performance and energy efficiency of future scientific computing
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oscillators driven by the storage-ring RF signals to fulfill the function of manipulating X-ray pulses. More specific responsibilities include MEMS design and simulation, testing and characterization
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The Argonne Leadership Computing Facility (ALCF) is dedicated to advancing scientific discoveries and engineering breakthroughs by providing world-class computing facilities in collaboration with
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mentorship, on supported inorganic and organometallic catalysts for small molecule activation as part of the EFRC Catalyst Design for Decarbonization Center (CD4DC) initiative. Key Responsibilities Design
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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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, and use of novel architectural features. Argonne National Laboratory is a multi-disciplinary research institution offering world-class opportunities in High-Performance Computing and housing the Argonne
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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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into low-temperature electrolyzers, utilizing single-cell testing platforms to evaluate their device-level performance The position also entails extensive ex‐situ and operando characterization of low temperature
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catalyst materials Experience in the synthesis and testing of heterogeneous catalysts Understanding of kinetics and thermodynamics as applied to catalysis Experience with spectroscopy applied to catalysis