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secure interaction between converters and the surrounding network has therefore emerged as one of the most challenging topics in modern power systems research. We seek an exceptional postdoctoral
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platform. The successful candidate will (1) integrate heterogeneous sensors and onboard computing hardware; (2) develop methods for LiDAR-based simultaneous localization and mapping (SLAM), autonomous
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system stability. Candidate will also develop robust control strategies for inverter-based resources, and conduct hardware experiments and hardware-in-the-loop testing to validate the control algorithms
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communication Ability to work effectively as part of an interdisciplinary team Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork Additional Information While these are not
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optimization across quantum and classical computing resources. Conduct hardware-software and application-system co-design by considering interactions among quantum hardware characteristics, HPC architectures
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start) • Ability to collaborate effectively in a team environment; • Excellent written and oral communication skills; Preferred qualifications Demonstrated experience with hardware/system integration and
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guidance and technical support to laboratory team members and mentor students. Contribute to the development and preparation of grant proposals. Maintain laboratory software and hardware resources while
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optics, optical microscopy or imaging Prior experience integrating hardware and software Fluency in mathematic concepts and manipulations Programming skills for acquiring and analyzing data (e.g., Python
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for extreme-scale, heterogeneous computing. This role sits at the intersection of compiler infrastructure, formal verification, runtime systems, and hardware/software co‑design—expanding into emerging paradigms
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this year: one focused on Quantum + Security and the other on Quantum + AI. These are separate searches. This advertisement is for the Quantum + AI position and is intended for applicants whose research