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Summary This position is responsible for designing, developing, and validating machine learning products and systems within the scope of DIHI projects. This position will act as a liaison between product
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responsibility of the position will be to assist in modelling of macromolecular structure and dynamics. Responsibilities Develop machine learning and artificial intelligence-based tools for analyzing and modeling
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and research-dedicated 3T MRI scanners at Duke’s Brain Imaging and Analysis Center. This position will involve development of data workflows using machine learning algorithms and other computational
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of this project is to apply machine learning and artificial intelligence tools to an ongoing project in the laboratory, validating the diagnostic potential of pump-probe microscopy to detect melanomas incorrectly
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and procedures of the department and organization. Demonstrates eagerness to learn, takes direction, adapts to changes within unit, demonstrates consistent progress toward Level II. Establishes and
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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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Abilities -strong analytic, interpersonal, and writing skills required -computer proficiency and Internet access required -ability and willingness to acquire knowledge about Duke Law School (or pre-existing
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and machine learning solutions. You will work on cutting-edge AI projects, collaborating with cross-functional teams to deliver AI-driven solutions that drive business value and innovation. Key
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regulatory requirements Ability to teach patients and families in accordance with the nursing Knowledge of and appropriate application of the nursing process Ability to use computer and learn new software
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, 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 patients. Ability to withstand