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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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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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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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the University of Arizona and relocations services, please click here . Duties & Responsibilities Instruct graduate and undergraduate students in field of expertise. Plan lectures and assignments. Grade assigned
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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
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related field from an AACSB-accredited institution by the start date. Demonstrated ability to conduct high quality accounting research using machine learning or other advanced data techniques. Evidence of
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/ Location Main Campus Address Tucson, AZ USA Position Highlights Professional level support for college faculty and their teams of research professors, research scientists, postdoctoral researchers and PhD
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and PhD students. Reviews, suggests, and establishes internal procedures for each team and for college administrative support staff in addressing existing and evolving UA policies and requirements
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, safety, etc. Advanced database and computer programming skills, including database management and coding in Python, R, etc. Strong interpersonal skills in working with both technical and non-technical
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employing standard and advanced statistical methods, including machine learning algorithms. The incumbent will also pursue independent research interests, secure extramural funding, and contribute to academic