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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
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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
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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
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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
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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
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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