682 programming-"the"-"DAAD"-"U"-"Prof"-"UCL"-"Brookhaven-Lab"-"NORCE" positions at University of Virginia
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
for the study sponsors, papers, and grant applications and is expected to develop research programs as time permits. The incumbent will also be expected to attend and participate in laboratory meetings and CVRC
-
successful results through the department’s quality assurance program, receiving routine inspections and feedback for action. Custodians maintain good working relationships with customers, staff, students, and
-
Utilizes a combination of programming and analytical skills to formulate/define system scope and objectives for the Electronic Medical Record System which includes testing validating and
-
, and programs. This position will not consider candidates who require immigration sponsorship now or in the future. Background checks will be conducted on all new hires prior to employment. For immediate
-
ensuring the effective administration of financial aid programs. The Student Finance team within SFS supports the financial well-being of students through a comprehensive approach to student accounts
-
require traveling some distance to attend meetings, and programs. The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and
-
plan, thus facilitating communication between patients/families and healthcare team. Participates in on-call responsibilities either in practice or inpatient environment. Educates patient and families
-
onboarding activities. MINIMUM REQUIREMENTS Education: Graduate of an accredited graduate school of nursing or physician assistant program with a master’s degree. Experience: Department and unit specific
-
, housing, transportation, rural communities, urban planning, education, or poverty Proficiency in one or more the following statistical software programs: R, Python, STATA, or SAS. Minimum Qualifications
-
healthcare data, particularly from EHR systems such as EPIC. • Proficiency in statistical software and programming languages (R, Python, SQL). • Strong knowledge of advanced statistical modeling, machine