1,008 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of Florida
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of policies, procedures, and practices of EVPHA Office, HSC, and University • Ability to operate a personal computer. Proficiency in and use of PeopleSoft, Microsoft Outlook, and Word • Ability to work
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field and one year of experience. Job Description: Providing expertise in statistical data, model analysis, and data science methods. Leading projects in statistical models, predictive analytics, and
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. The training program is designed for veterinarians who have completed a 3-year ACVS approved residency in small animal surgery. The 52-week appointment will consist of 41 weeks of clinic duties, with up
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breast pathology service is an integral part of our UF Health Breast Center, which is a National Center of Excellence in Breast Cancer, accredited by the National Accreditation Program for Breast Centers
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-based imagery data Data Analysis: • Analyze the data using graphical, statistical, and other AI-based methods • Work with the WRP team to implement methods for data analyses for reporting purposes. Other
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specialized computer program (Biopsy Management). Enter patient’s demographic information into Axium, add medical insurance information and scan patient demographic sheets along with a copy of driver license
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Data analysis experience, including AI and machine learning methods Interest in learning or experience with high performance computing Broad knowledge of college sports and/or elite-level competitive
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ancestors and numerous cultural belongings and is committed to fully complying with the Native American Graves Protection and Repatriation Act (NAGPRA). Working with curators and collections managers
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Classification Title: Program Coordinator, Student Government Advising & Operations Classification Minimum Requirements: Master’s degree in an appropriate area of specialization; or a bachelor’s
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of Public Health Program. They are advisors and mentors to a wide variety of students. Our current faculty members are leaders in artificial intelligence, big data analysis, cancer, genetics, infectious