210 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at University of Alabama at Birmingham
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. To instruct student athletes in proper techniques and decision-making to obtain desired outcomes. To adhere to all institutional, conference and NCAA rules and regulations. May assist with seasonal student
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effectively conveys information verbally and in writing. Have stamina, drive and perseverance to handle pressure well. Must be willing and able to resolve problem situations. Must be a computer-literate
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, implement, and optimize pulmonary CT and MRI image processing algorithms Develop AI and machine learning models tailored for lung imaging applications, including segmentation, classification, and disease
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qualified medical professional • Efficient and accurate computer and data entry skills • Excellent communication, customer service, and telephone etiquette skills • Ability to multi-task in a fast
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athletes of UAB sports programs. To instruct student athletes in proper techniques and decision-making to obtain desired outcomes. Adhere to all institutional, conference and NCAA rules and regulations. May
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experience required. Work experience may NOT substitute for education requirement. Required Skills Strong computer skills and ability to learn new platforms quickly. Proficiency in Microsoft Office (Word
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interactive computer-based activities for distance education and/or other educational formats. Function as the primary administrator for the campus video platform. Respond to faculty requests for assistance
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analysis efforts, including the application of advanced statistical and machine learning techniques to geospatial and wearable device data. Coordinate with investigators and data scientists to ensure data
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, developmentally appropriate learning experiences for students. This position plays a key role in advancing a unified, department-wide framework for leadership learning, service, and engagement by supporting
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for handling a particular specimen. Maintains proper storage of specimens until testing is performed. Locates missing specimens when necessary. Logs and enters all samples in computer databases. Assigns/records