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Associate with background on AI and machine learning for wireless networking and communications. The successful candidate will work under the direction of Dr. Marwan Krunz, Director of the Wireless
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a deep commitment to academic excellence. The desired teaching areas include but are not limited to: foundations in systems & industrial engineering; embedded computer systems; engineering design. The
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energy, leadership, and a deep commitment to academic excellence. The desired teaching areas include but are not limited to: foundations in systems & industrial engineering; embedded computer systems
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data-driven decision-making in clinical protocols. Research and Innovation Foster a robust research environment in transplantation, machine learning, and bioethics. Lead or collaborate on funded research
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Observatory, and LSST. Expertise in modeling cosmological observables through analytical methods or numerical simulations, machine learning, statistical inference, and data reduction is beneficial. As members
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, registry data, health data, laboratory data, electronic health records, biomedical informatics standards. Working kowledge or direct experience in SCN8A-related disorders. Experience in machine learning
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, proteomics, metabolomics) and artificial intelligence/machine learning (AI/ML) applications in biomedical research will be considered a strong advantage. Outstanding U of A benefits include health, dental
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Qualifications PhD in Robotics, Electrical & Computer Engineering, Mechanical Engineering, Biomedical Engineering, Computer Science, or closely related field. Must have PhD conferred upon hire. Preferred
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Experience with super-resolution ultrasound, US localization microscopy, photoacoustic imaging, elasticity imaging, pulse encoding, solving inverse problems, machine learning, AI, SolidWorks, 3D printing FLSA
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troubleshooting of equipment, instruments, and apparatus. **Overnight and weekend shifts will be required for this position.** William “Scott” Killgore, PhD, is a Professor of Psychiatry, Psychology, and