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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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biology, machine learning, and tissue biology. In this role, you will work closely with Dr. Yi Zhang and collaborators to develop and apply computational methods for analyzing complex biological data
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assessments, plan of care, interventions, evaluation and re-evaluation of patient status. Ability to use computer and learn new software programs. Ability to navigate the entity to provide clinical care for
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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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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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), 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
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, interventions, evaluation and re-evaluation of patient status Ability to use computer and learn new software programs Ability to document and communicate pertinent information using computer and/or paper