Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Position Description Associate in Research The role involves developing and optimizing machine learning models to predict infectious diseases using multimodal health data. Responsibilities include
-
ladder and to cross train to other areas throughout the clinic. JOB DUTIES AND RESPONSIBILITIES: Perform intake with patients to include vital signs, visit information, medication review, learning
-
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 to navigate the entity
-
of a bachelor's degree program. Experience Four years of administrative experience to acquire competence in applying compliance, coding, and auditing principles as they relate to insurance billing
-
of Pharmacy Technicians (ExCPT). Knowledge, Skills, and Abilities: Considerable knowledge of drug names, medical terminology and pharmaceutical calculations. Proficient computer skills including Excel, Word and
-
control measures for this equipment. Participate in specimen collection according to test requested. Is responsible for patient identification, specimen labeling, and collection verification. Instruct
-
certifications, as well as post master’s certificates and certification alignment programs. Commitment to ongoing learning for APPs through annual CME funding and access to high-quality Duke CME offerings
-
Nurse Practitioner or Physician Assistant-Palliative Care Inpatient Pediatric Quality of Life (PQOL)
certifications, as well as post master’s certificates and certification alignment programs. Commitment to ongoing learning for APPs through annual CME funding and access to high-quality Duke CME offerings
-
critical thinking in a fast-paced environment that promotes team building and fosters learning. The RNs in our unit aim to provide the highest quality care to our patient population while serving as patient
-
-dimensional image data and computational pipelines. Molecular biology wet-lab work. Quantitative and mathematical modeling. Statistical and machine learning inference from imagining and single-cell datasets