Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
modelling of medical data. Job Summary The University of Chicago's Department of Medicine's Section of Biomedical Data Science is searching for a Research Technician, whose primary activity will be analysis
-
data sets and computational modeling. Preferred Competencies Excellent written and verbal communication skills. Ability to work independently and collaboratively in a multidisciplinary environment
-
for implementing staff. Research Support: Engages with study participants and other partners to collect data and gather user feedback to inform device optimization, program refinement, professional development model
-
security and compliance policies, guidelines, and safe practices for university-wide computing and networking systems. Leads teams to conduct in-depth information technology risk assessments; makes
-
modelling of medical data. Job Summary The Research Assistant will provide support for claims/electronic medical records harmonization, programming, data analysis, running models for data analysis
-
protocol drafts for review, integrates technical and scientific information from multiple sources, and incorporates necessary revisions. Ensures protocol compliance with the Alliance model protocol and
-
, bringing new techniques to the lab (e.g. molecular engineering, informatics), growing the research into new directions, managing personnel, assisting with grant and manuscript submissions, and managing
-
modeling skills. Analyze, interpret and implement University policy and procedures and sponsor guidelines and regulations to ensure accurate response. Knowledge and familiarity with the financial
-
, computer science, or related computational field, or equivalent work experience. Experience: At least seven (7) years of professional experience in advanced statistical modeling and machine learning. At least seven
-
to child welfare system leaders, including state directors, NGO executives, and program staff. Transforms complex datasets into analyzable formats using tools like R, such as dplyr and data.table, and Python