72 computer-science-programming-languages-"the"-"FEMTO-ST-institute"-"O.P" positions at Duke University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
discover how we can advance health together. About Duke Health Technology Solutions Pursue your passion for caring and innovation with Duke Heath Technology Solutions, which is dedicated
-
students. Program Development and Management- 25% of Effort: Design and oversee programs that support international students in orientation and onboarding, cultural adjustment, academic success, and career
-
laboratory tests on the premises Remove sutures/staples Change sterile and non-sterile dressings Maintain clinical supply of patient care supply Manage the fit testing program, which includes maintenance and
-
(primarily ODEs, but also PDEs and stochastic models) of viral replication and immune processes. Implement simulations and perform computational experiments using high-level programming languages (e.g., Python
-
plan including data capture, storage, transfer, management, quality, and preparation for analysis (may include data from EDCs, EHR, mobile apps, etc.). Independently uses and implements technology to
-
Kunshan University (DKU). You’ll work closely with international students—including U.S. citizens—who are applying to DKU’s innovative undergraduate degree program in Kunshan, China. If you’re passionate
-
Requirements Education MD or DO graduate from an accredited medical school program and completion Internal Medicine Residency. Licensure Unrestricted medical license issued by NCMB. Federal and State
-
department clinical practice guidelines. Required Qualifications at this Level Education: Master’s degree in Speech-Language Pathology from an accredited university program. Experience: Previous experience in
-
: Graduate of an accredited MSN or DNP Acute Care Pediatric Nurse Practitioner program. PA: Graduate of an ARC accredited Physician Assistant program, Master’s or Doctoral Degree preferred. Licensure NP
-
healthcare. Qualifications Required: PhD (or equivalent) in computer science, statistics, biostatistics, electrical/biomedical engineering, or related quantitative field. Strong background in machine learning