Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
committed to providing robust learning and development from the Office of Continuing Education Comprehensive Benefits: Medical, Dental, Vision, Employee Pension plan and much more. What you will need: Current
-
programs to eligible team members. Learn more at https://hr.duke.edu/benefits/ Job Code: 00001004 ADMINISTRATIVE ASSISTANT Job Level: 10 Duke is an Equal Opportunity Employer committed to providing
-
Occupational Summary Perform a variety of highly technical, electric, electronic, computer, and mechanical tasks related to the installation, modification, operation, support and maintenance
-
appropriate. Actively participate in patient coverage across all divisions within the department as necessary. Assess the learning needs and capacities of patients and caregivers, initiating education in a
-
; Able to use computer and learn new software programs Able to provide leadership in clinical area of expertise and in meeting organizational goals Able to navigate the Hospital and DUHS to provide
-
-evaluation of patient status Ability to use computer and learn new software programs Ability to document and communicate pertinent information using computer and/or paper documentation tools Ability
-
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 programs
-
, evaluation and re-evaluation of patient status Ability to use computer and learn new software programs Ability to document and communicate pertinent information using computer and/or paper documentation tools
-
, treatment, and follow-up. Able to use fine motor skills Able to record activities, document assessments & interventions; prepare reports and presentations Able to use computer and learn new software programs
-
, evolutionary biology, computer science, physics, applied mathematics, or engineering. Our research integrates mathematical modeling, machine learning, and quantitative experiments to understand and control