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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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for social media profiles, establishes effective benchmarks for measuring impact of social media programs, and creates a content strategy and schedule. Provides supervision, training, and support to student
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in the application of machine learning algorithms to address innovative questions in ecology and evolution using large datasets are especially encouraged to apply. The successful candidate will be
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-day activities of the trainees, including but not limited to, disseminating rotation schedules, scheduling conferences and meetings, coordinating submission and response to trainee evaluation (including
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to join their team of professionals. Duties to include: Greets guests at the reception and provides assistance as necessary (e.g., directing them to campus resources, and scheduling appointments with Care
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of professionals. Duties include: Understand and analyze custodial, event, and maintenance conditions, trends, and facility usage patterns to recommend process improvements, optimize scheduling, and reduce response