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Qualifications Experience with Matlab, Phyton, C++ or other programming languages. Experience with remote sensing (multispectral and thermal IR). Experience with LiCOR measurements. Experience with machine
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study. The research topic is service dogs for military veterans with posttraumatic stress disorder (PTSD). The position will facilitate, implement, and perform research activities. Data collection will be
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. Duties & Responsibilities Research & Development: Develops, plans, designs and conducts independent or collaborative research projects in data science, AI and machine learning with applications in societal
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Specialists with daily coursework articulations. Assist in training new staff. Evaluate military credit and credit from Joint Services Transcripts (JSTs). Serve as a liaison to the VETS Center. Serve as an
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in the Tucson area. Knowledge of the proper tree trimming techniques. Fall protection knowledge. Mechanical skills for operating machines with fast moving/heavy parts. Physical Requirements: Excellent
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machines are in proper working condition and implement a preventative maintenance schedule. Knowledge, Skills, and Abilities: Thorough understanding of various welding processes (MIG, TIG, Stick, flux-core
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of advanced MRI processing pipelines comprising 1) k-space data manipulation, 2) MRI artifact correction, 3) integration of multi-contrast and longitudinal MRI data, 4) statistical and machine learning
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. Skill with computer & data collection systems such as student information systems (Peoplesoft, Salesforce), Microsoft Office Suite, Adobe Acrobat Pro DC, etc. Detail oriented, self-motivated, and highly
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, or a related field. At least six years of teaching experience in person at the college or university level, including at least one year of teaching business analytics/applied statistics/machine learning
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effective and productive working relationships with on-campus and off-campus partners. Ability to interact with varied internal and external partners on all levels. Computer skills and knowledge of Microsoft