Sort by
Refine Your Search
-
unravel the complex relationships between land use changes and fire regimes over the past 60 years. The successful candidate will lead efforts to: Develop advanced deep learning algorithms for classifying
-
collaboration with the UF Artificial Intelligence initiative. The successful candidate will have the opportunity to work on cutting-edge projects aimed at building large-scale models for neuroimaging and
-
transformation at UF, involving the external advisory board, faculty, students, and staff. They will co-create and implement a strategic business model for the CTC, managing the technical, financial, legal, and
-
animal models and extending these insights to understanding and intervening in human diseases. Successful candidates will be self-motivated scientists, with a passion for advancing cutting-edge research
-
comprehensive land grant university with an enrollment of over 50,000 students and was ranked 7th in the country among public universities (US News and World Report 2025 rankings), and 1st among public
-
of interest. The teaching assignment is 3/3/2. UF is the state’s oldest, largest, and most comprehensive land grant university with an enrollment of over 50,000 students and was ranked 7th in the country among
-
to contribute to research in concentrating solar thermal (CST) and solar fuels. Key Responsibilities: • Conduct research in CST and solar fuels, focusing on thermochemical reaction modeling and experimentation
-
personnel. BACKGROUND INFORMATION: The University of Florida is a Land-Grant, Sea-Grant, and Space-Grant institution, encompassing virtually all academic and professional disciplines, with an enrollment
-
epidemiology or related fields. Preferred Qualifications: Candidates should have a strong quantitative background and advanced computer skills and excellent writing skills in English and independent and critical