-
Health’s Department of Biostatistics is seeking a highly motivated postdoctoral research fellow to pioneer cutting-edge statistical and machine-learning approaches for the analysis and synthesis of diverse
-
, in collaboration with Dr. Ciocca Eller Conduct statistical analyses of data and process and clean raw data using Stata Prepare literature reviews, background research, and other content for project
-
, control theory, or a related field. Strong statistical understanding and a talent for data analysis and visualization using Matlab or Python are expected. Specific experience with experimental design
-
models, drawing from computer vision, natural language processing, and graph neural networks Preparing transparent, interactive data visualizations Conducting statistical analyses Literature reviews
-
of the study’s data dictionary. Other duties as required. Basic Qualifications College background and two or more years related research experience. Applicant should have proficiency in using statistical software
-
analysis and statistics. Experience with designing and executing cell-culture based, host-microbiota interaction studies including attachment-invasion assays, transwell assays, and working with bacterial
-
in interview data to patterns found in academic transcript data, in collaboration with Dr. Ciocca Eller Conduct statistical analyses of data and process and clean raw data using Stata Prepare
-
target trial emulation in combination with advanced epidemiologic and statistical methods to draw inferences from longitudinal data to answer pressing outstanding questions related to the safety and
-
, visualization, and statistical software (e.g., R, Python). Strong presentation and communication skills, both verbal and written. You are detail-oriented and value precision and reproducibility in your work. You
-
electronically), organize (merging and creating analytic data sets), summarize (summary statistics using Stata or similar software), and analyze data (regression analysis using Stata or similar software). Assist