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a spatially explicit predictive model for Everglades vegetation dynamics in response to major drivers. The major objectives are to explore the distribution models that discriminate among prairie and
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. Strong applied knowledge of classical machine learning algorithms, including implementation with scikit-learn, model evaluation using metrics such as accuracy, precision, recall, F1-score, and
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. Reviews and approves all HWCOM funding submissions in PantherSoft, to confirm appropriateness of faculty effort, Finance & Administration distribution, and overall budget consistency, and prepares a funding
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learning algorithm to analyze how experimental parameters ( 3D printing and electrospinning) affect the design. At least 3 semesters of FIU work experience or related experience outside the University with
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developing an AI machine learning algorithm to analyze how experimental parameters ( 3D printing and electrospinning) affect the design. Work with PhD students in data collection (physical and mechanical
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, research website maintenance, clinical coordination in experiments, group meeting minutes organization Aiding in developing an AI machine learning algorithm to analyze how experimental parameters ( 3D
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, research website maintenance, clinical coordination in experiments, group meeting minutes organization Aiding in developing an AI machine learning algorithm to analyze how experimental parameters ( 3D
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machine learning algorithm to analyze how experimental parameters ( 3D printing and electrospinning) affect the design. Work with PhD students in data collection (physical and mechanical properties
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packages and distribute them to their appropriately Monitor, organize and forward department emails accordingly Maintain inventory organized at the start and end of the day Fulfills the operational
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material including content creation, editing, and distribution via MailChimp. Asist in tracking and maintaining reports on social media and email statistics and other reports as necessary. Assist in