1,911 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Duke University
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aides, assistants) as available and appropriate. Actively participate in patient coverage across all divisions within the department as necessary. Assess the learning needs and capacities of patients and
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for genomics (e.g., generative models, transformers, agentic workflows) and/or statistical learning (e.g., network & spatiotemporal modeling, functional/longitudinal data, time-series). Analyze single-cell
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within the department as necessary. Assess the learning needs and capabilities of patients and caregivers. Initiate patient and family education in a timely manner relative to age, LOS, readiness to learn
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modifications so as to achieve desired outcomes; instruct patients in the proper use of prescribed drugs; participate in patientcare rounds with multidisciplinary teams to evaluate patient progress. Individualize
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to DUHS Help facilitate research for the Duke Health System by scanning and using protocols given. Demonstrate proficiency in the 100+ MR protocols in the Health System. Teach the correct application
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maintain a thorough understanding of anatomy and physiology, medical terminology, disease processes, surgical and radiation techniques. They must participate in continuing education programs to learn about
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prioritize workload to meet deadlines Be willing to be flexible in order to accomplish the shared goals of projects Demonstrate flexibility and willingness to acquire new skills Showcase their proven ability
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data, identifying structural errors in the dataset, and for maintaining a record of all steps from data extraction to dataset assembly · Fitting of machine learning models · Development of instrumental
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to this classification will be participants in an approved apprentice or trainee program established by DUHS. These programs have been developed in partnership with an institution of higher learning or professional
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aides, assistants) as available and appropriate. Actively participate in patient coverage across all divisions within the department as necessary. Assess the learning needs and capacities of patients and