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experience with the integration of computer technology into instruction. Strong communication, organization, interpersonal, and counseling skills Willingness to travel and teach among four campus sites and
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areas of business analytics such as data mining, machine learning and prescriptive analytics. You will have a good quantitative first degree, or equivalent, as well as a higher degree in a relevant
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manufacturing and processing industries. Students practice the art of traditional machining while learning the applications of computers, including computer-integrated machining, computer aided design and
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intersectionality, and inclusion of underserved populations (men, students with disabilities, LGBTQ+ students, and students from immigrant communities). Excellent verbal communication skills. Interest in learning
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the use of large language models to support neural network design and data preprocessing. The position involves close collaboration with experts in cardiovascular simulation and Scientific Machine Learning
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retention related to the target population. Demonstrated computer skills including working knowledge of Microsoft Office. Ability, and willingness, to work some weekends and evenings. Preferred Qualifications
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compliance, if applicable). Does this position have supervisory responsibilities? No Preferred Education/Experience Bachelor’s degree in Computer Science, Machine Learning, AI, Data Science, Engineering
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. The applied practice faculty (APF) member will facilitate student learning and competency development through clinical hands- laboratory instruction (hands-on skill development, simulation) and hospital-based
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University’s campus running smoothly and looking its best year-round, and enjoy a benefits package designed for you and your family: Paid Time Off – Generous vacation, holiday, sick, and military leave
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Other Computer Applications: Preferred Additional Knowledge, Skills and Abilities: Email to a Friend https://unmc.peopleadmin.com/postings/95272