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maintain relationships with healthcare organizations, accrediting bodies, and community partners to support academic program goals. Advocate for resources and infrastructure to support academic excellence
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communicator, with demonstrated administrative experience and skills along with a proven track record of combining scholarship with program leadership and development. The role offers a unique opportunity to
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annually) Tuition Assistance (UF Employee Education Program) Public Service Loan Forgiveness (PSLF) Eligible Employer For more information on benefits, please visit HR Benefits and Rewards (ufl.edu) Minimum
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. The Department offers two educational programs: an entry-level Doctor of Physical Therapy (DPT) program and training in Rehabilitation Sciences (PhD). Expected Salary: Commensurate with education, skills and
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clinical phases of the program, contributing to both education and administrative duties while engaging in team-based teaching across the curriculum. About This Role We are seeking a dynamic and innovative
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Suite, Adobe Acrobat, and PubMed database. Knowledge of HIPAA and IRB regulations for data management and data sharing. Expertise and skill in computer use; ability to learn new software. Ability to plan
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Hepatologist to join its established Liver Transplant Program. This is a full-time appointment in the Department of Medicine at the rank of Assistant/Associate/Full Professor level for a tenure/non-tenure track
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Astronomy, Astrophysics, Physics, or Computer Science by the date of appointment. This position will be initially awarded for one year. UF is the state’s oldest, largest, and most comprehensive land grant
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scholarship and initiate and sustain an externally sponsored research program. It is also expected that the individual will build collaborative local research networks across the University of Florida College
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and structure modeling for protein, RNA, or small molecule. Apply computational techniques, data analysis, and visualization methods for ongoing studies. Train and validate large deep learning models