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-generation AI hardware (ASIC) accelerators. The UK's Advanced Research Invention Agency (ARIA) is supporting an ambitious programme of work that aims to reduce the the cost of AI by more than 1000x: https
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National Aeronautics and Space Administration (NASA) | Cleveland, Ohio | United States | about 4 hours ago
application of a system-in-the-loop test rig for performing this control design maturation prior to the testing of these controllers on real experimental hardware. The work will also involve processing and
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). The goal is to create versatile, high-performance coils that will enable groundbreaking studies in metabolic imaging by enabling MRI of any nucleus with one set of hardware. You will have access to state
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, code, procedures, immersive simulated environments, and hardware prototypes for the Medical Autonomy Research and Validation in Extreme Environments Laboratory (MARVEL). The MARVEL Lab advances
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probes. The postdoc will play a key role in designing and optimizing imaging devices, integrating hardware and software, and collaborating with a multidisciplinary team of clinicians, engineers, and basic
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Researcher in FPGA-based AI Hardware Acceleration who has: strong experience in FPGA design, machine learning or a related field in the case of the Postdoctoral Research Associate, a PhD (or near completion
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Full time, fixed term for 12 months Opportunity to advance research in AI Hardware Acceleration Base Salary $89,831 - $121,054 + 17% superannuation About the opportunity The School of Electrical and
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago
. These one- to three-year fellowships are competitive and are designed to advance NASA’s missions in space science, Earth science, aeronautics, space operations, exploration systems, and astrobiology
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substantial autonomy to shape the design and integration strategy Design and prototype novel hardware and control systems for in vitro platforms Adapt and implement machine learning protocols for robotic
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topics: Waveform design for different RF bands (FR3, MMW, sub-THz/THz) Analog/digital/hybrid beamforming Integrated sensing and communication Reconfigurable intelligent surfaces Hardware-constrained signal