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, Environmental Science, Computer Science, or a closely related field Strong programming skills in Python or R Experience with machine learning and deep learning applied to geospatial data Demonstrated ability
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, biostatistics, biomedical informatics or related fields OR a PhD degree in biology or related fields. Preferred Qualifications: A strong background in programming (e.g., Python or R or C++) is essential. Research
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students in our residential programs and online art education MA. Also a part of the School of Art + Art History are the 4Most Gallery and the University Galleries—University Gallery, the Gary R. Libby
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languages and tools, including open science frameworks, and current data science techniques commonly used in AI/ML and geospatial analysis (e.g., Python, R, TensorFlow, PyTorch) is essential. The capability
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part of the School of Art + Art History are the 4Most Gallery and the University Galleries—University Gallery, the Gary R. Libby Gallery, and Grinter Gallery — which provide exhibition space for
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://ccs.eng.ufl.edu) to drive innovation and expand the impact of university-led R&D in support of sustainable solutions to coastal science and engineering challenges. The mission of the CCS is to develop and deliver