466 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at Tulane University
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written instructions Ability to lift items weighing up to 50 lbs and push items weighing up to 200 pounds. Possess basic computer operating skills Must have the ability to work with various laboratory
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• Basic skills in aseptic cell culture, animal handling, biochemical and cellular assays • Use of typical biomedical lab equipment • Computer competence (Word, Excel) and/or use of data analysis software
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Ability to lift items weighing up to 50 lbs and push items weighing up to 200 pounds. Possess basic computer operating skills Must have the ability to work with various laboratory animal species Required
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written communication. • Ability to have a commitment to customer service in both approach and attitude. • Ability to work in a university environment. • Ability to utilize computer programs (Word, Excel
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, alumni and vendors. The Customer Engagement Specialist II handles computer, telephone and in-person inquiries related to parking, Splash Cards and Splash Card declining balance accounts, meal plans, and
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• Technological Awareness Advanced knowledge of technological programs and software. Continuously enhances technical skills and learns new ones by seeking out training opportunities PHYSICAL REQUIREMENTS: Primarily
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, alumni and vendors. The Customer Engagement Specialist II handles computer, telephone and in-person inquiries related to parking, Splash Cards and Splash Card declining balance accounts, meal plans, and
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Developer supports the School of Professional Advancement (SoPA) by designing and producing high-quality digital media assets for online, hybrid, and technology-enhanced learning environments. This role is
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holiday working hours Good communications and personal relations skills Computer literacy Ability to use of two-way radios Required Education and/or Experience No prior experience or training required
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and precision and then using advanced machine-learning techniques to detect residual tumor cells on the surface. The project will create a device to scan and present results to a surgeon while still in