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providing acceptable, original forms of identification for employment verification via the Federal I-9 employment verification process. A list of acceptable documents can be seen here: https://www.uscis.gov/i
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, collaborative environment, the technician will play a key role in supporting equine patient care across multiple services, including surgery, anesthesia, and diagnostic imaging, while working closely with
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, measurements, surveys, and/or programming under close technical supervision. Supports research/engineering function by performing basic tasks in the operation and maintenance of research/engineering
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Job Title: Adjunct Faculty - Medical Imaging Location: Indianapolis Job Type: Part-time Classification: Adjunct faculty Salary Range: $48.67 Per Contact Hour Reports To: Department/Program Chair
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justice; and experience in incorporating technology into pedagogical approaches, including designing and implementing hybrid format courses. Social justice dimensions are a key component of our program
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and engineered systems utilizing engineering or science-based practices and principles. Advises faculty, postdocs, students, and staff with engineering design, modification, prototype and process
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system application software packages and hardware peripherals. Computer hardware, software, network technology, and operating system products. Techniques and methods of computer hardware and software
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California State University, Los Angeles | Los Angeles, California | United States | about 11 hours ago
: The College of Engineering, Computer Science, and Technology (http://www.calstatela.edu/ecst) offers ABET-accredited BS programs in Civil, Electrical, and Mechanical Engineering and Computer Science, and BS
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Engineering & Imaging Sciences (BMEIS) and the Royal Brompton Hospital’s Imaging Department in Chelsea. The School of BMEIS (https://www.kcl.ac.uk/bmeis ) is committed to improving the way we deliver healthcare
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applications. Key Responsibilities: Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based estimation from images and text metadata. Build and evaluate monocular depth pipelines