702 machine-learning "https:" "https:" "https:" "https:" "https:" "Cardiff University" positions at University of Florida
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our common mission — to heal, to comfort, to educate and to discover through quality health care, elimination of health disparities, medical education, innovation and research. To learn more about our
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understanding of advanced programming areas, including modern machine learning and deep learning methods (e.g., MATLAB and Python) Expertise in one or more of the following areas is preferred: mechanical
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Professor, beginning August 16, 2026, in United States legal history. The successful candidate will teach five courses during the academic year, and should be able to contribute to the Department of History’s
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Classification Title: Administrative Assistant I Classification Minimum Requirements: Eligible to serve as a Designated School Official: https://studyinthestates.dhs.gov/2013/07/questions-designated
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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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Oncology, Surgical Oncology, and Radiation Oncology o https://smallanimal.vethospital.ufl.edu/clinical-services/oncology/ Candidates must possess a strong knowledge and experience in veterinary nursing care
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Aid Award Page, go to https://one.uf.edu/financialaid/aidyear. Please contact Student Financial Aid if you have any questions regarding your eligibility. Application must be submitted by 11:55 p.m. (ET
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Interns to join Research Computing, a unit within UFIT, for the spring semester. This semester-long, paid internship is designed to provide students currently enrolled in college an opportunity to learn
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clinical features using machine learning and foundational modeling approaches. This work supports disease modeling across chronic kidney disease, acute kidney injury, cancer, and neurological conditions. A
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Sedecal DR unit with a Cannon DR imaging plate in the Small Animal OR. The Ultrasound suite is expansive and newly remodeled, with 4 Ultrasound machines, including two Samsung RS85 ultrasound units with