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Associate in Research The role involves developing and optimizing machine learning models to predict infectious diseases using multimodal health data. Responsibilities include analyzing correlations between
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strong emphasis on the Microsoft platform stack, AI-enabled capabilities, and multimedia/video-based learning. Essential tasks/responsibilities: • Develop and implement adoption strategies and tactics
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Venturelli Lab The Venturelli Lab at Duke University (www.venturellilab.org) is seeking highly motivated researchers or postdoctoral researchers with expertise in machine learning, deep learning, and/or
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of Software, Computer Architecture, Artificial Intelligence / Machine learning (AI/ML), and/or Human-Computer Interaction. The ideal candidate will have commitment, passion, and excellence in teaching
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, evaluation and re-evaluation of patient status Ability to use computer and learn new software programs Able to document and communicate pertinent information using computer and/or paper documentation tools
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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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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 new software
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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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of patient status Ability 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
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for quality care in all interactions Responds promptly to communication (e.g., e-mail, pages and phone messages) Uses technology (e.g., computer skills) to meet job requirements Maintains productivity standards