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Learning Technology Engineer, Open Academy Be You. Be Bold. Choose Duke. Be You. At Duke University, technology plays a critical role in advancing teaching, learning, and innovation. As a Learning
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efficiency and supports high-performance machine learning, AI-driven predictive modeling, and advanced clinical analytics. Job Responsibilities: Data Consolidation & Management: Clean, manage, and consolidate
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. The Interpretable Machine Learning Lab has dedicated access to high-performance CPU and GPU computing resources provided by Duke University’s Research Computing unit and state-of-the-art IT infrastructure. Ideal
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leading experts in autism research, computer vision, machine learning, psychiatry, and developmental science to develop innovative technologies that improve how caregiver-child interactions and
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Department of Biostatistics and Bioinformatics at Duke University School of Medicine is seeking an Associate in Research to join an interdisciplinary research group developing advanced machine learning and
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depth in artificial intelligence and machine learning with hands-on product development with strong connections to industry. The program values collaboration, innovation, and real-word impact, preparing
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Bayesian inference, likelihood-free inference, uncertainty quantification, identifiability analysis, or scientific machine learning. Strong programming skills (Python, Julia, Matlab, C++, or similar). Strong
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family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Equal Opportunity Employer: Duke is an Equal Opportunity Employer committed to providing
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), maintain and fine tune machine learning models for predicting treatment preferences of dementia patients, assist Sinnott-Armstrong in designing and creating two new, innovative courses to be taught in
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, professional growth, quality outcomes, and lifelong learning. Salaried Position: Monday to Friday: This role may require occasional early morning or evening availability. Key responsibilities include: Leading