2,199 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"SUNY" positions at University of Michigan
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for any reason, throughout the course of employment. Learn more about the work modes . Additional Information This job posting is for a University of Michigan Temporary position. Temporary employment
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EPIC Computer/typing skills such as Microsoft Word and Excel Work Schedule ? Hours per week: 40 hours ? Shift: Days; Monday-Friday, variable times. Weekends and Holidays as patient care
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of a team. Demonstration of understanding of Medical Terminology. Exceptional organizational and computer skills in Microsoft software applications. Ability to work with minimal supervision while
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considered. Applicants should indicate their ability to instruct a specific topic (2D, 3D, 4D, Drawing, Portfolio) in a cover letter. This year, Stamps Pre-College programs will offer both virtual and in
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gym. This position offers lots of learning opportunities, including funding for professional development opportunities. Perks and Benefits: Excellent medical, dental and vision coverage 2:1 Match on
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individuals at all levels; appropriately handle confidential and sensitive information. Proficient computer skills are essential, including demonstrated proficiency with Outlook, Word, Excel, PowerPoint, Adobe
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Confocal imaging Must be a team player, demonstrating flexibility, positivity, and respectfulness. Willingness to learn new techniques. Ability to rapidly learn new techniques by seeking out the expertise
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advances basic science administration, maintains fiscal health, reduces administrative burden, and supports innovative research and learning. Responsibilities* Develop and implement a strategic vision for
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personal computer, email, and software (e.g. gmail, Microsoft products). Excellent organizational, communication, and problem-solving skills. Ability to work collaboratively and coordinate efforts across
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methodology and analysis of nationally representative samples, highly desired Experience applying contemporary computational and statistical methods, such as machine learning Demonstrate familiarity with EMA