63 machine-learning "https:" "https:" "https:" "https:" "https:" positions at University of Florida
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coordinator and FFL director. Follow all university policies and procedures. Expected Salary: $46,000/annually. https://hr.ifas.ufl.edu/benefits/ Required Qualifications: Bachelor's degree in an appropriate
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coordinator and FFL director. Follow all university policies and procedures. Expected Salary: $46,000/annually. https://hr.ifas.ufl.edu/benefits/ Required Qualifications: Bachelor's degree in an appropriate
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possess a doctoral degree in biomedical informatics, computer science, biostatistics/statistics, or a related discipline. Candidates are expected to have experience in machine learning and NLP/LLMs, with
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an appropriate area and one year of relevant experience; or an equivalent combination of education and experience. Basic computer skills, including familiarity with Microsoft Excel or Google Sheets. Strong
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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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Information Technology (UFIT) is currently seeking an entry level Learning Spaces Technician to join Academic Technology a unit within UFIT. This is an evening shift position. UF Information Technology (UFIT) enables
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investigators and affiliated faculty/staff to build a portfolio of independent and collaborative research incorporating AI and Machine Learning research methodology into the study of influences on child and
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-of-the-art enterprise IT systems, including SEC and SUS universities, and the opportunity to teach using HiPerGator. For more information about UFIT and its goals and governance, visit https://it.ufl.edu/about
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to advance the development of new treatments and improve patient outcomes. To learn more about the Neuromuscular Division at the University of Florida, please visit https://neurology.ufl.edu/divisions
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healthy and tumor-bearing animals using machine learning and AI approaches; and (3) integration of PBPK and QSAR models with AI methods to develop AI-assisted computational approaches to support decision