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Field
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integration of hardware and software of robotic systems. Demonstrable research experience in conducting experiments for Field Robotic Systems. Proficient programming experience in embedded, real-time software
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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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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 20 days ago
flight. To bridge the gap between laboratory-grade quantum optics and flight-ready hardware, there is an urgent need for Photonic Integrated Circuit (PIC) platforms that can generate high-fidelity
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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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presentations. The selected candidate will have an opportunity to work in a research-oriented laboratory equipped with state-of-the-art hardware and software tools, performing cutting-edge research related
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). Experience in neurotechnology development: hardware adaptation, electronics, device building, or related engineering skills. Background in neurodevelopmental research and/or in vivo recordings in juvenile