64 machine-learning "https:" "https:" "https:" "https:" positions at University of Florida
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, instrumentation laboratories, and the HiPerGator computer cluster, among others. The department is committed to participate in both the CLAS Beyond 120 (https://www.advising.ufl.edu/beyond120/) and UF Quest (http
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owned devices. Travel is required for this position. The incumbent is responsible for providing technical support in the Thomas M. and Irene B. Kirbo Innovation and Learning Laboratory at the Iona M
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, psychiatry, allergy/immunization clinic, and travel medicine. Radiology, pharmacy, lab, and physical therapy are also on site. Learn more about SHCC here https://shcc.ufl.edu/ About the University of Florida
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grant submissions. Expected Salary: $22.00 an hour Required Qualifications: High School Diploma + 2 years of relevant experience. Preferred: Be able to evaluate large data sets with unsupervised machine
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independently Proficiency with computer software and services including Microsoft Excel, Word, PowerPoint, Forms, and other applications; Qualtrics; Canvas Learning Management System; EventBrite; Canva or Adobe
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. We are interested in candidates with research interests in causal inference or Bayesian methodology, and we also welcome strong applicants from the broader fields of statistics and machine learning
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or University of Florida committees as needed Expected Salary: $45,000 annually; In addition, the University of Florida offers a very competitive benefits package. Learn more by visiting: https://hr.ufl.edu
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, and neural plasticity during learning and non-invasive neuromodulation. The postdoctoral researcher will study the influence of non-invasive vagus nerve stimulation on neural responses to speech sounds
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. The training program is also committed to cultivating an atmosphere that is conducive to learning by providing clinical postdoctoral associates with an appropriate blend of support and challenge. Postdoctoral
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units centered around AI and technology-enhanced learning, such as the Institute for Advanced Learning Technologies (https://ialt.education.ufl.edu ). Successful applicants for the tenure track Assistant