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Field
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hardware, including VTT’s Q50 machine and Aalto’s new Q20 system, located in the same building as our offices. In addition, we have access to other commercially available quantum platforms. Aalto University
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to work on memristive-based neuromorphic circuits. The Adaptive Devices and Microsystems lab at the George Washington University conducts research in novel types of devices, circuits and hardware
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physics, particle physics, or a closely related field completed within the last 5 years Preferred Qualifications: Hardware and/or data analysis/simulations experience relevant to rare event searches
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experience in simulating/implementing quantum algorithms for field theories on quantum hardware. Appointment Detail: This post‑doctoral position is a full‑time, 12‑month appointment with annual renewal
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to design, assemble and test the hardware and real-time analysis software and engage with the wider astronomical and space sustainability communities. Key responsibilities: To understand and convey material
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embedded systems from vulnerabilities rooted in sensor physics, studying the impact of physical signals (e.g., acoustics, lasers, electromagnetic emissions) on AI and sensing systems, and innovating hardware
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physics is required by the start of the appointment. Candidates also should demonstrate a strong record of accomplishment in data analysis and experience or interest in detector hardware development
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involved in SpinQuest at Fermilab and the MUSE experiment at PSI. Our hardware program includes the ePIC Barrel Imaging Calorimeter, and instrumentation R&D such as a polarized lithium-ion source for EIC
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background in one or more of the following areas: dynamics analysis of power systems, machine learning, cybersecurity, renewable energy, microgrids, hands-on experiences on hardware-in-the-loop projects
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++ and Python are required. Experience with control and optimization of power generation systems (e.g., wind power) is desirable but not required. Some experience with real-time control hardware is