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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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make a difference in the world! Position Information Texas A&M AgriLife Research – Dallas Center (https://dallas.tamu.edu/ ) is seeking a highly motivated individual to join the Controlled Environment
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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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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 12 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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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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++ 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
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(https://atomicfilmslab.org) and will work closely with the computational, device, and simulation teams, as well as with the education and mentorship teams comprising ASWESOME. This position will inform
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knowledge of hardware implementations. Demonstrated ability to lead small teams and mentor students. Demonstrated strong written and verbal communication skills. Publication record in peer-reviewed journals
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neuroscience through innovative AI technologies. This unique position represents an extraordinary partnership with industry-based collaborators, and will include vendor-sponsored hardware and software