2,504 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions at Duke University
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of care, interventions, 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
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focus on developing play-based learning resources and interdisciplinary multimedia projects, with some aspects overlapping with formal STEM education and policy. In addition to project responsibilities
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scanning and using protocols given. Demonstrate proficiency in the 100+ MR protocols in the Health System. Teach the correct application of these protocols to new technologists, physicians, and researchers
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, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Essential Physical Job Functions: Certain jobs at Duke University and
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activities, document assessments, plan of care, interventions, evaluation and re-evaluation of patient status. Ability to use computer and learn new software programs. Ability to navigate the entity to provide
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to record activities, document assessments, plan of care, interventions, evaluation and re-evaluation of patient status Ability to use computer and learn new software programs Able to document and communicate
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organization. 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 programs. Ability
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Skills Cardiology/Pulmonary experience preferred Ability to lead others and work well in a team environment Strong customer service skills Strong conflict resolutions skills Desire to learn new skills/grow
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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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, genomics, computer science, bioinformatics, or a related discipline. The successful candidate will lead computational research projects applying advanced statistical, machine learning, and artificial