1,901 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions at Duke University
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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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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
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support requirements designated by work area Ability to record activities, document assessments, plan of care, interventions, evaluation and re-evaluation of patient status Ability to use computer and learn
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to use computer and learn new software programs Able to document and communicate pertinent information using computer and/or paper documentation tools Ability to navigate the entity to provide clinical