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Development Assist with developing and coordinating student support programs such as orientation, peer mentorship, experiential learning, or career programming. Coordinates the development, presentation, and
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of developing training tools to support learning outcomes. The role includes supporting the coordination of logistics and materials for camps, events, and marketing/outreach. Additional responsibilities include
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questions to be addressed, and working with other team members to support development of AI models and their impact in clinical setting. Leveraging expertise in statistical analysis, machine learning, novel
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travel medicine. Radiology, pharmacy, lab, and physical therapy are also on site. Learn more about SHCC here https://shcc.ufl.edu/ About the University of Florida UF is one of the nation’s top universities
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, genetics, nutrition, and/or genetic counseling. Strong computer skills including proficiency in Microsoft Word, Excel, and Outlook Experience with Epic (or other electronic medical records system). Excellent
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statistical analysis using R and help organize datasets for interpretation. A key focus will be integrating microbiome and metabolome data through statistical and machine-learning approaches to uncover
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analytics, machine learning, human systems engineering, optimization, simulation, and stochastic analysis. There are also outstanding opportunities for interdisciplinary work across the UF campus. More
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principles of clinical research. SKILLS Proficiency with general statistical software (e.g. SAS, R) Proficiency with machine learning frameworks (R, Python, Weka, RapidMiner, etc) Proficiency in Microsoft
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or in groups regarding various work and experiential learning opportunities, networking and mentoring; Career Connections Center resources and services; and job search strategies. Helps prepare students
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sensing-based solutions by advancing crop growth models and machine learning techniques to reduce reliance on in-field soil and plant destructive sampling promoting long-term efficiency and sustainability