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solid coding skills and hands-on experience with Python for implementing models and analyzing data. Responsibilities include assisting in developing algorithms, running simulations, analyzing results, 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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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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, data entry for Children's Services Council (CSC) reporting, and data management. Works closely with undergraduate Research Assistants, oversees daily scheduling and task completion. Provides
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scheduling, financial management, meeting preparation, logistical support, etc. Collaborates and supports the Human Resources team with recruitment, onboarding, employee engagement and related administrative
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of professionals Duties: Responsible for all aspects of Household Visit scheduling within the NHELP program for all learners to include populating available household (HH) visit appointment slots within the Portal