1,040 coding-"https:" "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" uni jobs at Duke University in United States
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, centralized revenue cycle organization that supports the entire health system in streamlining the revenue cycle. This includes scheduling, registration, coding, billing, and other essential revenue functions
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Job Code: 00001465 USER SERVICES SPECIALIST Job Level: 11 Anticipated Pay Range: Duke University provides an annual base salary range for this position as USD $51,483.00 to USD $90,098.00. Duke
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upload their CV, a cover letter with a brief statement of their background and interests, and contact information only for at least three references to AcademicJobsOnline.org (https
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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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, and contact information only for at least three references to AcademicJobsOnline.org (https://academicjobsonline.org/ajo/jobs/32663 ">https://academicjobsonline.org/ajo/jobs/32663 ). All applications
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to Duke initiatives in AI and data science. This search is distinct from, but complementary to, the Duke University Discovery AI Initiative https://academicjobsonline.org/ajo/jobs/32313 , which also
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required. OR AN EQUIVALENT COMBINATION OF RELEVANT EDUCATION AND/OR EXPERIENCE Degrees, Licensures, Certifications None required. OR AN EQUIVALENT COMBINATION OF RELEVANT EDUCATION AND/OR EXPERIENCE Job Code
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Duke Hospital, Clinic facilities, Research facilities and outlying building in accordance with pertinent local, state, and federal codes and regulatory requirements. Work Arrangement – On-site
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Job Code: 00001833 ADMISSIONS OFFICER, UG ADMISSIONS Job Level: 70 Anticipated Pay Range: Duke University provides an annual base salary range for this position as USD $45,661.00 to USD $90,515.00
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scientific research and public health. We welcome applicants who are passionate about advancing genomic technologies and are ready to embark on a challenging and rewarding research career. Job Code: 00000729