10 machine-learning-"https:" "https:" "https:" research jobs at The University of Arizona
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Postdoctoral Research Associate (Electrical and Computer Engineering) Posting Number req24681 Department Electrical and Computer Engr Department Website Link https://ece.engineering.arizona.edu/ Location Main
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Clinical Research Assistant (Extended Temporary) (Multiple Positions) Posting Number req24639 Department Vet Med Administration Department Website Link https://vetmed.arizona.edu/ Location Main Campus
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(Extended Temporary) (Multiple Positions) Posting Number req24639 Department Vet Med Administration Department Website Link https://vetmed.arizona.edu/ Location Main Campus Address Tucson, AZ USA Position
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req24524 Department Vet Med Administration Department Website Link https://vetmed.arizona.edu/ Location Main Campus Address Tucson, AZ USA Position Highlights The College of Veterinary Medicine, with
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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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, 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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, 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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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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any of the following areas is desirable Collection and analysis of dense nodal seismic datasets Numerical simulations of the seismic wavefield High-performance computing Machine learning applications in
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equitable scholarly environment in research, mentoring, and service. Your work will focus on the SEAMLESS (SEmi-Automated Machine LEarning Search for Semi-resolved galaxies) survey, whose goal is to identify