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Field
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processor selection to PCB design, FPGA/MCU implementation, firmware development, hardware debugging, and deployment of signal-processing and machine-learning algorithms. A significant part of the position
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makes a machine measurable. You will own a system from CAD through fabrication to hardware that still runs six months later If your focus is learning, you will develop policies and perception that run
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frequency fingerprinting (RFF) systems using machine learning. The successful candidate will have significant experience in signal processing or machine learning, and an outstanding track record in
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-diagnostic circuits Application areas include: Biomedical sensing and physiological monitoring Edge intelligence and energy-efficient machine learning hardware Radar and wireless signal processing and
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and unmanned aerial vehicle development, in particular electronic hardware design and embedded system development. - Comprehension of common machine learning algorithms and image analysis
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complex challenges in science, energy, national security, and health. Our researchers develop scalable machine-learning models, deep-learning architectures, and data-driven methods for platforms ranging
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Care and Hospice, Duke Health and Wellness, and multiple affiliations. Be You. Be Bold. Choose Duke. Postdoctoral Associate, Diagnostic Imaging & Machine Learning Be You. At Duke, we celebrate
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Challenge grant. The successful candidate will work closely with the Principal Investigators (PIs) to develop and implement innovative research integrating machine learning, computer vision, and
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; onboard computational hardware using the Robot Operating System), and experimental testing (on unmanned vehicle swarms). A solid competency with the standard implementation tools used in machine learning
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; onboard computational hardware using the Robot Operating System), and experimental testing (on unmanned vehicle swarms). A solid competency with the standard implementation tools used in machine learning