Sort by
Refine Your Search
-
Listed
-
Field
-
2:1 Match on retirement savings Responsibilities* Accurately and efficiently schedule patient appointments utilizing Cadence. Management of pre-arrival functions to assure all necessary information
-
candidate. Job Summary The University of Michigan's Information and Technology Services (ITS) is seeking an experienced and innovative RF/Network Systems DevOps Specialist Senior to join our Infrastructure
-
to the Collaborative's Project Manager, Data Manager, and Principal Investigator. About Social Care in Chronic Disease Collaborative: Established in 2019, the Social Care in Chronic Disease
-
, Canada, Europe, South America, and Southeast Asia. The Research Area Specialist would work closely with the PI to help coordinate the activities of a large team. They also would have opportunities
-
world through science and research by use of computational tools such as scientific computing, High Performance Computing (HPC), Big Data (Spark, DBMS), Machine Learning, cloud computing services (AWS
-
attention to detail and tracking. Demonstrated ability to work independently and regularly exercise judgment in setting priorities. Ability to work collaboratively and effectively within a large team setting
-
research initiatives by developing and validating clinical phenotypes (i.e., patient or clinical care attributes derived from multiple EHR data sources using an algorithmic approach with a coding framework
-
optical and radiologic imaging data SQL-based database development for clinical, pathologic, and radiologic data Data quality assurance Training computer vision and large language models on biomedical
-
, inventory and service charges. Ensure safety is the highest priority and comply with all EHS safety standards and programs. Assure compliance with University purchasing protocols, ADA codes, NCAA and Big Ten
-
, positive youth development, violence prevention, health equity, or related fields Demonstrated quantitative data analysis skills; Experience using R, SPSS, Stata, SAS, or Python to manage and analyze large