Sort by
Refine Your Search
-
Listed
-
Field
-
explore exciting opportunities within our Main Operating Room (OR). Varies by assignment The Internal Traveler Program is an opportunity to explore the boundless possibilities for nurses at UVA Health
-
Thank you for your interest in the New Graduate RN program at UVA Health. Our 2025 Summer cohort for new graduates is now at capacity. We are accepting applications for our Winter 2026 cohort here
-
This team member will coordinate and maintain administrative and operational initiatives pertaining to the Patient Placement Center (MEDCOM, Bed Center, Transfer Center, and Transportation Coordination). This position requires a strong working knowledge of standard work and policy maintenance...
-
Requirements: The candidate must be able to demonstrate a deep knowledge of supercomputing software development for massively-parallel computer architectures, and expertise in working with large-scale software
-
Contract Nurse Varies by assignment. MINIMUM REQUIREMENTS Education: Graduate of accredited nursing program, Bachelor of Science in Nursing required within 5 years of hire. Experience: One year of
-
or changes in care with the healthcare team. Varies by assignment The Internal Traveler Program is an opportunity to explore the boundless possibilities for nurses at UVA Health. Internal Traveler positions
-
science, mathematics, engineering, technology, and computer science education. The post doc will work closely with the Global Center for Equitable Computer Science Education, receiving mentorship in
-
, detail-oriented, and ambitious Postdoc/Research Associate. Position Summary Postdoctoral employment is temporary and is normally limited to an individual who has been awarded a Ph.D. or equivalent
-
, the Cardiovascular Research Center, and Biomedical Engineering. Physical Demands This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some
-
systems with the development of patient-derived ex vivo platforms that capture the complexity and heterogeneity of human RCC. We also leverage advanced computational tools, including single cell and spatial