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Be You. At Duke, we celebrate individuality and the unique perspectives that each member of our community brings. As the Machine Learning Research Data Analyst, Ophthalmic Imaging, you'll play a
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join a highly collaborative, interdisciplinary research environment focused on developing and applying cutting-edge machine learning and deep learning methods to abdominal imaging. Working alongside
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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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and application of advanced computed tomography methods, with a focus on photon-counting CT, quantitative image analysis, and machine learning. The position will involve work across several NIH-funded
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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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scholarship with guidance and mentoring from Duke Law faculty members. Each year, the VAP will teach one upper-level course (or two, if the VAP so prefers) of the VAP’s choice or design, subject to the Law
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organization. Demonstrates eagerness to learn, takes direction, adapts to changes within unit, demonstrates consistent progress toward Level II. Establishes and maintains sterile field and assures team maintains
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, generous retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Equal Opportunity Employer: Duke is an Equal
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required job control language required for processing of data; submit input, programs and operating instructions to be processed by electronic computer; operate computer input/output terminal to enter and