2,602 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Duke University
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compliance and suggest modifications so as to achieve desired outcomes; instruct patients in the proper use of prescribed drugs; participate in patient care rounds with multidisciplinary teams to evaluate
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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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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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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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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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the learning needs and capacities of patients and caregivers, initiating education in a timely manner based on readiness, emotional status, and length of stay. Use appropriate educational methods and materials
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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
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and attention to detail. Ability to learn and adapt to evolving planning systems and clinical technologies. Effective communication and collaboration with RO, QMP, RTT, and allied personnel; clear
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safety, medical dosimetry principles, and planning workflows; strong analytical skills and attention to detail. Ability to learn and adapt to evolving planning systems and clinical technologies. Effective