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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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deep learning including data collection, architecture development, model training, and validation Interest in software development, with particular emphasis on the Python programming language and
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ferroelectrics, plasmonics, semiconductors—into photonic and THz architectures. This is an outstanding opportunity for candidates with a strong background in nanofabrication to contribute to cutting-edge quantum
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define requirements and performance specifications for future HEP/NP detector systems Perform detector concept development, system-level design, and optimization leveraging emerging computing architectures
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for AI and deep learning (details: NVIDIA DGX-2) Intel-based Aurora Supercomputer: A next-generation supercomputing system (details: Aurora Supercomputer) Additional advanced compute architectures designed
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, including both the large-scale production machines and the testbed machines featuring novel architectures such as Cerebras and SambaNova. The list below provides examples of the potential tasks
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architectures and device technologies Developing and applying simulation and modeling tools for detector performance, characterization, and validation Providing technical feedback to guide intelligent on-detector
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architecture is desirable Proficiency in Python for computing observables and analyzing quantum chemistry outputs Interest in ultrafast x-ray science and synchrotron/FEL sources, with a focus on theoretical
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for the proposed XRS microscopy instrument, including: performance requirements (throughput/solid angle, energy resolution, imaging/spatial resolution, stability), spectrometer architecture and scaling plan
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technologies, control algorithms and powertrain architectures with focus on advanced technologies. The candidate will assist on projects to benchmark next generation vehicle systems, identify opportunities