1,910 phd-computational-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at Duke University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Continuing Education. Clinical Ladder Advancement Tuition Assistance Relocation Grant Employee Referral Program Performance Increases Comprehensive Benefits: Medical, Dental, Vision, Employee Pension plan and
-
Imaging services.There is a clinical ladder program with various steps and opportunitiesat each hospital within the health system. Knowledge, Skills and Abilities < br/> Level Characteristics N/A Minimum
-
of computer required. Knowledge of surgical instrumentation and care/cleaning strongly preferred; knowledge of sterile techniques preferred. Degrees, Licensure, and/or Certification Certification in Sterile
-
organization and communications. A completed medical secretarial program (nine months up to two years accredited program) may be substituted for equivalent experience. Ability to deal with patient questions
-
simulations and multiscale spatial-omics data. • Integrate uncertainty quantification into scientific machine learning workflows and optimize the design of computational (ABM) and wet-lab experiments
-
performance improvement activities. Perform other related duties incidental to the work described herein. Required Qualifications at this Level Education Work requires graduation from an accredited BSN program
-
drug pricing program (340B). Additional roles include overseeing day-to-day 340B operations, ensuring 340B program integrity, leading the 340B oversight committee, and providing 340B compliance, policy
-
program development and (4) enhance the image of and access to all DUHS cancer clinical and research programs. DUTIES AND RESPONSIBILITIES: Strategy and Planning: Collaborate with DUHS (including DHIP), DCI
-
outcomes of the patient and care team. Plan and provide advanced and/or specialized nursing care for patients in guided by DUHS Professional Practice model participate in the clinical ladder program
-
restoration of function. The successful applicant will combine computational modeling, engineering optimization, and in vivo experiments to advance understanding and application of electrical block of neural